Stretchable glove for accurate and robust hand pose reconstruction based on comprehensive motion data.

We propose a compact wearable glove capable of estimating both the finger bone lengths and the joint angles of the wearer with a simple stretch-based sensing mechanism. The soft sensing glove is designed to easily stretch and to be one-size-fits-all, both measuring the size of the hand and estimating the finger joint motions of the thumb, index, and middle fingers. The system was calibrated and evaluated using comprehensive hand motion data that reflect the extensive range of natural human hand motions and various anatomical structures. The data were collected with a custom motion-capture setup and transformed into the joint angles through our post-processing method. The glove system is capable of reconstructing arbitrary and even unconventional hand poses with accuracy and robustness, confirmed by evaluations on the estimation of bone lengths (mean error: 2.1 mm), joint angles (mean error: 4.16°), and fingertip positions (mean 3D error: 4.02 mm), and on overall hand pose reconstructions in various applications. The proposed glove allows us to take advantage of the dexterity of the human hand with potential applications, including but not limited to teleoperation of anthropomorphic robot hands or surgical robots, virtual and augmented reality, and collection of human motion data.

Design guidelines for movement-assistive clothing based on a comprehensive understanding of older adults' needs and preferences.

This study aimed to explore the needs and wants of older adults in the context of movement-assistive clothing (MSC), with a focus on muscle strength and posture correction. A survey was conducted to understand the needs and wants of older adults, considering aspects of functions and designs, and to evaluate the comfort, safety, ease of use, usefulness, and intention of users to purchase and use products. A total of 408 individuals aged > 65 years participated in the study. The data were analyzed using descriptive analyses, such as mean, standard deviation, percentages, Cronbach's alpha, chi-square test, independent t-test, analysis of variance, and regression using IBM SPSS 27.0. Exploratory Factor Analysis was also conducted to test the hypotheses. Open-ended questions were extracted using major themes after color-coding. Based on the results, design recommendations were derived, including the development of pants and innerwear with casual, minimalist styles, featuring achromatic colors, and utilizing stretchy, breathable fabrics. Comfort, safety, ease of use, and usefulness emerged as critical factors influencing the purchase and use of MSC by older adults. This study aimed to establish design guidelines by understanding the needs and wants of older adults and considering the aspects of movement-assistive clothing to relieve musculoskeletal issues. Accordingly, these findings are expected to aid in the creation of wearable suits using flexible fabric artificial muscles for active musculoskeletal correction in older adults.