Analyzing the Effectiveness and Contribution of Each Axis of Tri-Axial Accelerometer Sensor for Accurate Activity Recognition.

Javed, Abdul Rehman; Sarwar, Muhammad Usman; Khan, Suleman; Iwendi, Celestine; Mittal, Mohit; Kumar, Neeraj

Javed, Abdul Rehman; Sarwar, Muhammad Usman; Khan, Suleman; Iwendi, Celestine; Mittal, Mohit; Kumar, Neeraj.

Afiliação

Javed AR; National Center for Cyber Security, Air University, Islamabad 44000, Pakistan.
Sarwar MU; Department of Computer Sciences, National University of Computer and Emerging Sciences, Islamabad 44000, Pakistan.
Khan S; National Center for Cyber Security, Air University, Islamabad 44000, Pakistan.
Iwendi C; Department of Electronics BCC of Central South University of Forestry and Technology, Changsha 410004, China.
Mittal M; Department of Information Science and Engineering, Kyoto Sangyo University, Kyoto 603-8555, Japan.
Kumar N; Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab 147001, India.

Sensors (Basel) ; 20(8)2020 Apr 14.

Article em En | MEDLINE | ID: mdl-32295298

Assuntos

Acelerometria/métodos; Atividade Motora; Acelerometria/instrumentação; Humanos; Modelos Logísticos; Aprendizado de Máquina; Corrida; Postura Sentada; Smartphone; Caminhada

Palavras-chave

accelerometer sensor; activity recognition; smart health; smartphone

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acelerometria / Atividade Motora Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article

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