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1.
Sensors (Basel) ; 23(2)2023 Jan 14.
Artigo em Inglês | MEDLINE | ID: mdl-36679768

RESUMO

We propose a multi-threaded algorithm that can improve the performance of geometric acoustic (GA)-based sound propagation algorithms in mobile devices. In general, sound propagation algorithms require high computational cost because they perform based on ray tracing algorithms. For this reason, it is difficult to operate sound propagation algorithms in mobile environments. To solve this problem, we processed the early reflection and late reverberation steps in parallel and verified the performance in four scenes based on eight sound sources. The experimental results showed that the performance of the proposed method was on average 1.77 times better than that of the single-threaded method, demonstrating that our algorithm can improve the performance of mobile devices.


Assuntos
Software , Som , Acústica , Algoritmos , Computadores de Mão
2.
JAMA Pediatr ; 177(1): 62-70, 2023 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-36508199

RESUMO

Importance: Mobile devices are often used to keep young children occupied or calm, but it is not known whether this practice influences child development. Objective: To examine the longitudinal, bidirectional associations between the parent-reported frequency of using mobile devices to calm young children and children's executive functioning (EF) and emotional reactivity, testing moderation by child sex and temperament. Design, Setting, and Participants: This prospective cohort study included a community-based convenience sample of English-speaking parents of typically developing children aged 3 to 5 years. The study duration was from August 2018 to January 2020, with baseline (T1), 3-month follow-up (T2), and 6-month follow-up (T3) waves. Exposures: Parent-reported frequency of use of mobile devices to calm children when upset (5-point Likert scale). Main Outcomes and Measures: At each wave, the child's EF was assessed with the Behavior Rating Inventory of Executive Function-Preschool Version Global Executive Composite and emotional reactivity with the Child Behavior Checklist Emotional Reactivity subscale. Structural equation models were built to examine cross-lagged associations of the use of devices for calming, EF, and emotional reactivity, testing for moderation by child sex or temperament (Child Behavior Questionnaire-Very Short Form surgency score, median split). Results: Of 422 eligible parents with data at T1, 375 (88.9%) provided data at T2 and 366 (86.7%) at T3. At baseline, the mean (SD) age of the 422 children was 3.8 (0.5) years, the number of boys in the sample was 224 (53.1%), the number of individuals of non-Hispanic White race and ethnicity was 313 (74.2%), and among the parents, 254 (60.2%) had a college degree or higher. Among the boys, the use of devices to calm at T2 was associated with higher emotional reactivity at T3 (r [standardized regression coefficient] = 0.20; 95% CI, 0.10-0.30), while higher emotional reactivity at T2 had a nonsignificant association with increased device use for calming at T3 (r = 0.10; 95% CI, -0.01 to 0.21). Among children with high temperamental surgency, the use of devices to calm at T2 was associated with increased emotional reactivity at T3 (r = 0.11; 95% CI, 0.01-0.22), while higher emotional reactivity at T2 was associated with increased device use for calming at T3 (r = 0.13; 95% CI, 0.02-0.24). Conclusions and Relevance: The findings of this study suggest that the frequent use of mobile devices for calming young children may displace their opportunities for learning emotion-regulation strategies over time; therefore, pediatric health care professionals may wish to encourage alternate calming approaches.


Assuntos
Emoções , Função Executiva , Masculino , Criança , Humanos , Pré-Escolar , Estudos Prospectivos , Desenvolvimento Infantil/fisiologia , Pais/psicologia , Computadores de Mão
3.
Sensors (Basel) ; 22(23)2022 Nov 28.
Artigo em Inglês | MEDLINE | ID: mdl-36501945

RESUMO

With the continual advancement of positioning technology, people's use of mobile devices has increased substantially. The global navigation satellite system (GNSS) has improved outdoor positioning performance. However, it cannot effectively locate indoor users owing to signal masking effects. Common indoor positioning technologies include radio frequencies, image visions, and pedestrian dead reckoning. However, the advantages and disadvantages of each technology prevent a single indoor positioning technology from solving problems related to various environmental factors. In this study, a hybrid method was proposed to improve the accuracy of indoor positioning by combining visual simultaneous localization and mapping (VSLAM) with a magnetic fingerprint map. A smartphone was used as an experimental device, and a built-in camera and magnetic sensor were used to collect data on the characteristics of the indoor environment and to determine the effect of the magnetic field on the building structure. First, through the use of a preestablished indoor magnetic fingerprint map, the initial position was obtained using the weighted k-nearest neighbor matching method. Subsequently, combined with the VSLAM, the Oriented FAST and Rotated BRIEF (ORB) feature was used to calculate the indoor coordinates of a user. Finally, the optimal user's position was determined by employing loose coupling and coordinate constraints from a magnetic fingerprint map. The findings indicated that the indoor positioning accuracy could reach 0.5 to 0.7 m and that different brands and models of mobile devices could achieve the same accuracy.


Assuntos
Campos Magnéticos , Pedestres , Humanos , Fenômenos Físicos , Análise por Conglomerados , Computadores de Mão
4.
Sci Rep ; 12(1): 21865, 2022 12 18.
Artigo em Inglês | MEDLINE | ID: mdl-36529787

RESUMO

Accurately model recognition of mobile device is of great significance for identifying copycat device and protecting intellectual property rights. Although existing methods have realized high-accuracy recognition about device's category and brand, the accuracy of model recognition still needs to be improved. For that, we propose Recognizer, a high-accuracy model recognition method of mobile device based on weighted feature similarity. We extract 20 features from the network traffic and physical attributes of device, and design feature similarity metric rules, and calculate inter-device similarity further. In addition, we propose feature importance evaluation strategies to assess the role of feature in recognition and determine the weight of each feature. Finally, based on all or part of 20 features, the similarity between the target device and known devices is calculated to recognize the brand and model of target device. Based on 587 models of mobile devices of 17 widely used brands such as Apple and Samsung, we carry out device recognition experiments. The results show that Recognizer can identify the device's brand and model than existing methods more effectively. In average, the model recognition accuracy of Recognizer is 99.08% (+ 9.25%↑) when using 20 features and 92.08% (+ 29.26%↑) when using 13 features.


Assuntos
Computadores de Mão , Reconhecimento Psicológico
5.
BMC Public Health ; 22(1): 2011, 2022 11 02.
Artigo em Inglês | MEDLINE | ID: mdl-36324121

RESUMO

BACKGROUND: Exploring parental motives for providing smartphones and tablets to young children is important to better understand ways to optimise healthy use of mobile screens in early childhood. To date, no study has qualitatively examined the factors underpinning parental motives of providing mobile screens to young children, using a theoretically driven approach. METHODS: We conducted 45 in-depth, semi structured online interviews with primary caregivers of toddlers and pre-schoolers from diverse family backgrounds who participated in a large online survey in Australia. Themes were generated from the transcribed interviews using template thematic analysis. The coding was completed deductively using the Theory of Planned Behaviour (TPB) and data-driven induction. RESULTS: Participants consistently reported a spectrum of attitudes, subjective norms and perceived behavioural control aspects which drove their decision to provide or not provide a mobile screen device to their child. Five main descriptive themes were generated, guided by the TPB: (1) Convenience, connection, and non-traditional learning experience; (2) Negative behavioural consequences and potential activity displacement through mobile screens; (3) Influences of society and resources; (4) Managing and achieving a balance; (5) External challenges. CONCLUSIONS: Overall, the findings demonstrated that parents experienced cognitive dissonance between their attitudes and behaviour, primarily from perceived behavioural control and subjective norms negating the influence of attitudes on their motives to provide a device. These insights offer important avenues for public health messaging and resources to better involve and support parents in decision-making relating to mobile screens in everyday lives of young children.


Assuntos
Computadores de Mão , Pais , Pré-Escolar , Humanos , Pais/psicologia , Atitude , Smartphone , Motivação
6.
J Med Syst ; 46(12): 97, 2022 Nov 16.
Artigo em Inglês | MEDLINE | ID: mdl-36383266

RESUMO

Disparities in patient portal use are impacted by individuals' access to technology and the internet as well as their skills and health behaviors. An individual's geographic location may impact these factors as well as contribute to their decision to use a portal, their choice of device to access the portal, and their use of portal functions. This study evaluated patient portal use by geographic location according to three comparators: proximity to the medical center offering the portal, urban/rural classification, and degree of digital distress. Patients residing farther from the medical center, in rural areas, or in areas of higher digital distress were less likely to be active portal users. Patients in areas of higher digital distress were more likely to use the mobile portal application instead of the desktop portal website alone. Users of the mobile portal application used portal functions more frequently, and being a mobile user had a greater impact on the use of some portal functions by patients residing in areas of higher digital distress. Mobile patient portal applications have the potential to increase portal use, but work is needed to ensure equitable internet access, to promote mobile patient portal applications, and to cultivate individuals' skills to use portals.


Assuntos
Aplicativos Móveis , Portais do Paciente , Humanos , Registros Eletrônicos de Saúde , Computadores de Mão , Hospitais
7.
Stud Health Technol Inform ; 299: 104-117, 2022 Nov 03.
Artigo em Inglês | MEDLINE | ID: mdl-36325851

RESUMO

From beginning to today, pHealth has been a data driven service that collects and uses personal health information (PHI) for personal health services and personalized healthcare. As a result, pHealth services use intensively ICT technology, sensors, computers and mathematical algorithms. In past, pHealth applications were focused to certain health or sickness related problem, but in today they use mobile devices, wireless networks, Web-technology and Cloud platforms. In future, pHealth uses information systems that are highly distributed, dynamic, increasingly autonomous, multi-stakeholder data driven eco-system having ability to monitor anywhere person's regular life, movements and health related behaviours. Because privacy and trust are pre-requirements for successful pHealth, this development raises huge privacy and trust challenges to be solved. Researchers have shown that current privacy approaches and solutions used in pHealth do not offer acceptable level of privacy, and trust is only an illusion. This indicates, that today's privacy models and technology shall not be moved to the future pHealth. The authors have analysed interesting new privacy and trust ideas published in journals, and found that they seem to be effective but offer only a partial solution. To solve this weakness, the authors used a holistic system view to aspects impacting privacy and trust in pHealth, and created a template that can be used in planning and development future pHealth services. The authors also propose a tentative solution for future trustworthy pHealth. It combines privacy as personal property and trust as legal binding fiducial duty approaches, and uses a Blockchain-based smart contract solution to store person's privacy and trust requirements and service providers' promises.


Assuntos
Registros de Saúde Pessoal , Privacidade , Humanos , Confiança , Computadores , Computadores de Mão
8.
Sensors (Basel) ; 22(22)2022 Nov 15.
Artigo em Inglês | MEDLINE | ID: mdl-36433441

RESUMO

In recent years, skin spectral information has been gradually applied in various fields, such as the cosmetics industry and clinical medicine. However, the high price and the huge size of the skin spectrum measurement device make the related applications of the skin spectrum unable to be widely used in practical applications. We used convolutional neural network (CNN) to achieve a satisfying accuracy of the Fitzpatrick skin-type classification by using a simple self-developed device in 2018. Leveraging on the hardware, firmware, and software app-developing experience, a low-cost miniature skin spectrum measurement system (LMSSMS) using deep neural network (DNN) technology was further studied, and the feasibility of the system is verified in this paper. The developed LMSSMS is divided into three parts: (1) miniature skin spectrum measurement device (MSSMD), (2) DNN model, and (3) mobile app. The MSSMD was developed with innovative low-cost MSSC, 3D printing, and a simple LED light source. The DNN model is designed to enhance measurement accuracy. Finally, the mobile app is used to control and show the measurement results. The developed app also includes a variety of skin-spectrum-related applications, such as erythema index and melanin index (EI/MI) measurement, Fitzpatrick skin-type classification, Pantone SkinTone classification, sun-exposure estimation, and body-fat measurement. In order to verify the feasibility of LMSSMS, we used the standard instrumentation device as a reference. The results show that the accuracy of the LMSSMS can reach 94.7%, which also confirms that this development idea has much potential for further development.


Assuntos
Redes Neurais de Computação , Pele , Humanos , Computadores de Mão , Eritema , Tecnologia
9.
Sci Rep ; 12(1): 17989, 2022 Oct 26.
Artigo em Inglês | MEDLINE | ID: mdl-36289312

RESUMO

Recently, ocular biometrics in unconstrained environments using images obtained at visible wavelength have gained the researchers' attention, especially with images captured by mobile devices. Periocular recognition has been demonstrated to be an alternative when the iris trait is not available due to occlusions or low image resolution. However, the periocular trait does not have the high uniqueness presented in the iris trait. Thus, the use of datasets containing many subjects is essential to assess biometric systems' capacity to extract discriminating information from the periocular region. Also, to address the within-class variability caused by lighting and attributes in the periocular region, it is of paramount importance to use datasets with images of the same subject captured in distinct sessions. As the datasets available in the literature do not present all these factors, in this work, we present a new periocular dataset containing samples from 1122 subjects, acquired in 3 sessions by 196 different mobile devices. The images were captured under unconstrained environments with just a single instruction to the participants: to place their eyes on a region of interest. We also performed an extensive benchmark with several Convolutional Neural Network (CNN) architectures and models that have been employed in state-of-the-art approaches based on Multi-class Classification, Multi-task Learning, Pairwise Filters Network, and Siamese Network. The results achieved in the closed- and open-world protocol, considering the identification and verification tasks, show that this area still needs research and development.


Assuntos
Identificação Biométrica , Humanos , Identificação Biométrica/métodos , Processamento de Imagem Assistida por Computador/métodos , Algoritmos , Iris/anatomia & histologia , Computadores de Mão
10.
Sensors (Basel) ; 22(19)2022 Sep 22.
Artigo em Inglês | MEDLINE | ID: mdl-36236293

RESUMO

Vehicle systems have been one of the fastest-growing fields in recent years. Vehicles are extremely helpful for understanding driver behaviors and have received significant attention from a forensic perspective. Extensive forensic research was previously conducted on on-board vehicle systems, such as an event data recorders, located in the electronic control unit or manufacturer-based infotainment systems. However, unlike previous vehicles that used only manufacturer-based infotainment systems, most vehicles today are equipped with infotainment systems such as Android Auto and Apple CarPlay. These in-vehicle infotainment (IVI) systems connect to mobile devices such as smartphones and tablets. The vehicle can periodically communicate with a smartphone and thus a network outside the vehicle. Drivers can use more services in their vehicles than ever before. Accordingly, an increasing number of diverse data are being stored in vehicles, with mobile devices connected to both the vehicle and the cloud. Such data include information that can be of significant help to investigators in solving problems during forensic investigations. Therefore, forensics of IVI systems such as Android Auto and Apple CarPlay are becoming increasingly important. We analyzed various forensic studies conducted on Android Auto and Apple CarPlay. Most of the research was mainly focused on mobile devices connected through a wired USB connection. The use of wireless-based IVI systems has recently been increasing. However, the analysis of Android Auto and Apple CarPlay from this point of view is insufficient. Therefore, we proposed a forensic methodology that fully considers such limitations. A forensic analysis was conducted on various IVI systems. We also developed an IVI system forensics tool that works based on the proposed methodology.


Assuntos
Malus , Computadores de Mão , Projetos de Pesquisa , Smartphone
11.
Sensors (Basel) ; 22(19)2022 Sep 24.
Artigo em Inglês | MEDLINE | ID: mdl-36236341

RESUMO

The emerging use of low-temperature plasma in medicine, especially in wound treatment, calls for a better way of documenting the treatment parameters. This paper describes the development of a mobile sensory device (referred to as MSD) that can be used during the treatment to ease the documentation of important parameters in a streamlined process. These parameters include the patient's general information, plasma source device used in the treatment, plasma treatment time, ambient humidity and temperature. MSD was developed as a standalone Raspberry Pi-based version and attachable module version for laptops and tablets. Both versions feature a user-friendly GUI, temperature-humidity sensor, microphone, treatment report generation and export. For the logging of plasma treatment time, a sound-based plasma detection system was developed, initially for three medically certified plasma source devices: kINPen® MED, plasma care®, and PlasmaDerm® Flex. Experimental validation of the developed detection system shows accurate and reliable detection is achievable at 5 cm measurement distance in quiet and noisy environments for all devices. All in all, the developed tool is a first step to a more automated, integrated, and streamlined approach of plasma treatment documentation that can help prevent user variability.


Assuntos
Computadores de Mão , Microcomputadores , Documentação , Humanos , Umidade , Temperatura
12.
JMIR Mhealth Uhealth ; 10(10): e37980, 2022 10 31.
Artigo em Inglês | MEDLINE | ID: mdl-36315221

RESUMO

BACKGROUND: The terms health app and medical app are often used interchangeably but do not necessarily mean the same thing. To better understand these terms and better regulate such technologies, we need distinct definitions of health and medical apps. OBJECTIVE: This study aimed to provide an overview of the definitions of health and medical apps from an interdisciplinary perspective. We summarized the core elements of the identified definitions for their holistic understanding in the context of digital public health. METHODS: The legal frameworks for medical device regulation in the United States, the European Union, and Germany formed the basis of this study. We then searched 6 databases for articles defining health or medical apps from an interdisciplinary perspective. The narrative literature review was supported by a forward and backward snowball search for more original definitions of health and medical apps. A qualitative analysis was conducted on the identified relevant aspects and core elements of each definition. On the basis of these findings, we developed a holistic definition of health and medical apps and created a decision flowchart to highlight the differences between the 2 types. RESULTS: The legal framework showed that medical apps could be regulated as mobile medical devices, whereas there is no legal term for health apps. Our narrative literature review identified 204 peer-reviewed publications that offered a definition of health and medical apps. After screening for original definitions and applying the snowball method, 11.8% (24/204) of the publications were included in the qualitative analysis. Of these 24 publications, 22 (88%) provided an original definition of health apps and 11 (44%) described medical apps. The literature suggests that medical apps are a part of health apps. To describe health or medical apps, most definitions used the user group, a description of health, the device, the legal regulation, collected data, or technological functions. However, the regulation should not be a distinction criterion as it requires legal knowledge, which is neither suitable nor practical. An app's intended medical or health use enables a clear differentiation between health and medical apps. Ultimately, the health aim of an app and its main target group are the only distinction criteria. CONCLUSIONS: Health apps are software programs on mobile devices that process health-related data on or for their users. They can be used by every health-conscious person to maintain, improve, or manage the health of an individual or the community. As an umbrella term, health apps include medical apps. Medical apps share the same technological functions and devices. Health professionals, patients, and family caregivers are the main user groups. Medical apps are intended for clinical and medical purposes and can be legally regulated as mobile medical devices.


Assuntos
Aplicativos Móveis , Saúde Pública , Humanos , Estados Unidos , Coleta de Dados , Pessoal de Saúde , Computadores de Mão
13.
Zhongguo Yi Liao Qi Xie Za Zhi ; 46(5): 496-502, 2022 Sep 30.
Artigo em Chinês | MEDLINE | ID: mdl-36254475

RESUMO

In view of the high recognition error rate and long scanning time in the existing hospital scanning technology, a new hospital operating room scanning system is designed based on personal digital assistant (PDA). The PDA scanning device adopts PIC16F877A microcontroller of 8 bit for wireless transmission through RFID and bluetooth technology, the code scanning efficiency is greatly improved. In addition, in order to improve the accuracy of image analysis, this study also adopts the energy driven sampling classification algorithm (EDS-CA) to properly preprocess the medical data information received through PDA scanning, then constructs a function classifier, and improves the image processing efficiency according to the EDS-CA reduction process. The experimental results show that the average accuracy of the code scanning system designed in this study is 95%, which proves that PDA code scanning has good performance.


Assuntos
Computadores de Mão , Salas Cirúrgicas , Algoritmos , Hospitais , Tecnologia
14.
Sci Rep ; 12(1): 16682, 2022 10 06.
Artigo em Inglês | MEDLINE | ID: mdl-36202829

RESUMO

Abnormal voice may identify those at risk of post-stroke aspiration. This study was aimed to determine whether machine learning algorithms with voice recorded via a mobile device can accurately classify those with dysphagia at risk of tube feeding and post-stroke aspiration pneumonia and be used as digital biomarkers. Voice samples from patients referred for swallowing disturbance in a university-affiliated hospital were collected prospectively using a mobile device. Subjects that required tube feeding were further classified to high risk of respiratory complication, based on the voluntary cough strength and abnormal chest x-ray images. A total of 449 samples were obtained, with 234 requiring tube feeding and 113 showing high risk of respiratory complications. The eXtreme gradient boosting multimodal models that included abnormal acoustic features and clinical variables showed high sensitivity levels of 88.7% (95% CI 82.6-94.7) and 84.5% (95% CI 76.9-92.1) in the classification of those at risk of tube feeding and at high risk of respiratory complications; respectively. In both cases, voice features proved to be the strongest contributing factors in these models. Voice features may be considered as viable digital biomarkers in those at risk of respiratory complications related to post-stroke dysphagia.


Assuntos
Transtornos de Deglutição , Transtornos Respiratórios , Acidente Vascular Cerebral , Computadores de Mão , Deglutição , Transtornos de Deglutição/etiologia , Humanos , Aprendizado de Máquina , Acidente Vascular Cerebral/complicações
15.
Int J Med Inform ; 168: 104882, 2022 12.
Artigo em Inglês | MEDLINE | ID: mdl-36242855

RESUMO

BACKGROUND: Like other computing devices mobile devices have inherent security risks. With today's wider use of mobile devices in medical institutions, particularly the practice of 'bring-your-own-device' (BYOD), the risk of medical data breaches is concerning. PURPOSE: To investigate security risk perception and safeguard adoption of mobile devices among medical practitioners and IT administrators. Furthermore, to comprehend the perceived costs that practitioners feel these safeguards impose on them. BASIC PROCEDURES: We conducted both quantitative and qualitative studies investigating whether age, gender and occupation have an impact on the perceived security of patient information and the behavior intentions formed when adopting BYOD. In the quantitative component, a survey was completed by 264 healthcare practitioners from three hospitals and affiliated clinics in New York City. In the qualitative component, we interviewed 36 of 264 subjects from the first study, including twelve physicians, twelve nurses, and twelve IT administrators. All participants had direct experience with BYOD devices. The length of each interview averaged forty-five minutes to an hour. MAIN FINDINGS: We found that physicians have a significantly higher intent to comply with safeguards, compared to nurses. IT administrators prefer an encrypted network connection and Two Factor Authentication (2FA), or a biometric authentication method for accessing Electronic Medical records (EMR). All medical practitioners believe that the biggest threat to the security of medical information is theft or misplacement of the device. Physicians and IT administrators have a better understanding of malware and Wi-Fi threats than nurses. PRINCIPAL CONCLUSIONS: This research provides valuable data regarding the healthcare practitioner's safeguard cost, attitudes and intended behaviors regarding the risks and use of mobile devices in healthcare. By understanding a user's perceptions, we can be better aware of how to educate healthcare practitioners, and how to develop policies that will reduce costs and achieve better productivity. We can also see how these processes may be improved by accessing patient information faster and by designing technology more effectively.


Assuntos
Computadores de Mão , Registros Eletrônicos de Saúde , Humanos , Atenção à Saúde , Pessoal de Saúde , Instalações de Saúde , Segurança Computacional
16.
Artigo em Inglês | MEDLINE | ID: mdl-36141443

RESUMO

Due to the development of sensing technology people can easily track their health in various ways, and the interest in personal healthcare data is increasing. Individuals are interested in controlling their wellness, which requires self-awareness and an understanding of various health conditions. Self-generated health data are easily accessed through mobile devices, and data visualization is commonly used in applications. A systematic literature review was conducted to better understand the role of visualizations and learn how to develop effective ones. Thirteen papers were analyzed for types of data, characteristics of visualizations, and effectiveness for healthcare management. The papers were selected because they represented research on personal health data and visualization in a non-clinical setting, and included health data tracked in everyday life. This paper suggests six levels for categorizing the efficacy of visualizations that take into account cognitive and physical changes in users. Recommendations for future work on conducting evaluations are also identified. This work provides a foundation for personal healthcare data as more applications are developed for mobile and wearable devices.


Assuntos
Computadores de Mão , Atenção à Saúde , Humanos
17.
Sensors (Basel) ; 22(18)2022 Sep 18.
Artigo em Inglês | MEDLINE | ID: mdl-36146407

RESUMO

The distinct properties and affordances of paper provide benefits that enabled paper to maintain an important role in the digital age. This is so much so, that some pen-paper interaction has been imitated in the digital world with touchscreens and stylus pens. Because digital medium also provides several advantages not available to physical paper, there is a clear benefit to merge the two mediums. Despite the plethora of concepts, prototypes and systems to digitise handwritten information on paper, these systems require specially prepared paper, complex setups and software, which can be used solely in combination with paper, and, most importantly, do not support the concurrent precise interaction with both mediums (paper and touchscreen) using one pen only. In this paper, we present the design, fabrication and evaluation of the Hybrid Stylus. The Hybrid Stylus is assembled with the infinity pencil tip (nib) made of graphite and a specially designed shielded tip holder that is attached to an active stylus. The stylus can be used for writing on a physical paper, while it still maintains all the features needed for tablet interaction. Moreover, the stylus also allows simultaneous digitisation of handwritten information on the paper when the paper is placed on the tablet screen. In order to evaluate the concept, we also add a user-friendly manual alignment of paper position on the underlying tablet computer The evaluation demonstrates that the system achieves almost perfect digitisation of strokes (98.6% of strokes were correctly registered with only 1.2% of ghost strokes) whilst maintaining excellent user experience of writing with a pencil on the paper.


Assuntos
Grafite , Computadores de Mão , Escrita Manual , Software , Tempo
18.
Sensors (Basel) ; 22(18)2022 Sep 19.
Artigo em Inglês | MEDLINE | ID: mdl-36146443

RESUMO

This paper presents several scenarios where digital evidence can be collected from mobile devices, their legal value keeping untouched. The paper describes a robust methodology for mobile forensics developed through on-field experiences directly gained by the authors over the last 10 years and many real court cases. The results show that mobile forensics, digital analysis of smartphone Android or iOS can be obtained in two ways: on the one hand, data extraction must follow the best practice of the repeatability procedure; on the other hand, the extraction of the data must follow the best practice of the non-repeatability procedure. The laboratory study of the two methods for extracting digital data from mobile phones, for use as evidence in court trials, has shown that the same evidence can be obtained even when the procedure of unavailability of file mining activities has been adopted. Indeed, thanks to laboratory tests, the existence of multiple files frequently and continuously subjected to changes generated by the presence of several hashes found at forensic extractions conducted in very short moments of time (sometimes not exceeding 15 min) has been proven. If, on the other hand, the examination of a device is entrusted to a judicial police officer in order to conduct a forensic analysis to acquire data produced and managed by the user (such as images, audio, video, documents, SMS, MMS, chat conversations, address book content, etc.) we have sufficient grounds to believe that such examination can be organized according to the system of repeatable technical assessments.


Assuntos
Telefone Celular , Ciências Forenses , Computadores de Mão , Medicina Legal , Smartphone
19.
Stud Health Technol Inform ; 297: 367-374, 2022 Sep 02.
Artigo em Inglês | MEDLINE | ID: mdl-36073415

RESUMO

A common cause for inconsistent accessibility in the design of ICT applications is that designers work to develop optimal and satisfactory interfaces but they do not take care to comply with all users' needs and possibilities to access. The study presented in this paper stems from a lack of published evidence able to support designs in developing accessible interfaces for websites, mobile apps or conversational Interfaces (chatbot or voicebot). This work aims at investigating accessible design patterns that can be used by designers to implement applications accessible by multiple devices. To solve this problem, we propose a design pattern language able to provide WCAG compliant design out-of-the-box solutions. The navigation through the design patterns allows designers to gather existing solutions based on solid evidence and examples to develop inclusive applications accessible by web, mobile devices or conversational agents.


Assuntos
Idioma , Aplicativos Móveis , Comunicação , Computadores de Mão
20.
Sensors (Basel) ; 22(16)2022 Aug 11.
Artigo em Inglês | MEDLINE | ID: mdl-36015762

RESUMO

In this paper, we investigate a resource allocation and computation offloading problem in a heterogeneous mobile edge computing (MEC) system. In the considered system, a wireless power transfer (WPT) base station (BS) with an MEC sever is able to deliver wireless energy to the mobile devices (MDs), and the MDs can utilize the harvested energy for local computing or task offloading to the WPT BS or a Macro BS (MBS) with a stronger computing server. In particular, we consider that the WPT BS can utilize full- or half-duplex wireless energy transmission mode to empower the MDs. The aim of this work focuses on optimizing the offloading decision, full/half-duplex energy harvesting mode and energy harvesting (EH) time allocation with the objective of minimizing the energy consumption of the MDs. As the formulate problem has a non-convex mixed integer programming structure, we use the quadratically constrained quadratic program (QCQP) and semi-definite relaxation (SDR) methods to solve it. The simulation results demonstrate the effectiveness of the proposed scheme.


Assuntos
Computadores de Mão , Alocação de Recursos , Simulação por Computador
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