A Posture Detection System using Consumer Wearable Sensors

被引:5
|
作者
Matsumoto, Masatoshi [1 ]
Takano, Kosuke [1 ]
机构
[1] Kanagawa Inst Technol, Dept Informat & Comp Sci, Atsugi, Kanagawa, Japan
来源
PROCEEDINGS OF 2016 10TH INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT, AND SOFTWARE INTENSIVE SYSTEMS (CISIS) | 2016年
关键词
Posture detection; motion capture; acceleration sensor; foot plantar sensor; bluetooth low energy;
D O I
10.1109/CISIS.2016.137
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Having the correct postures in many situations, such as standing, sitting, playing a sport, and working, makes our bodies function properly and keeps us healthy. The advancement of sensor technology allows us to quickly measure our posture in every scene using consumer-grade devices such as a wrist-worn type tracking sensors, smartphones, and shoes embedded with several kinds of sensors. It is not difficult to detect correct postures of athletes who can train at fully equipped facilities. However, for ordinary users, it is necessary to use a combination of such consumer portable devices for checking proper postures during daily exercise. In this study, we present a posture detection system using sensors embedded in consumer portable devices, for the purpose of posture checking. Experiments are performed to illustrate the feasibility of our system by the use of some exercise motions.
引用
收藏
页码:526 / 531
页数:6
相关论文
共 50 条
  • [41] Attitude Estimation for Posture Detection in eHealth Services
    Makni, Aida
    Lefebvre, Gregoire
    2018 31ST IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS 2018), 2018, : 310 - 315
  • [42] Investigating Inter-Subject and Inter-Activity Variations in Activity Recognition Using Wearable Motion Sensors
    Barshan, Billur
    Yurtman, Aras
    COMPUTER JOURNAL, 2016, 59 (09): : 1345 - 1362
  • [43] Learning-Based Posture Detection Using Purely Passive Magneto-Inductive Tags
    Schulten, Henry
    Wernli, Florian
    Wittneben, Armin
    2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2021,
  • [44] DEVELOPMENT OF A WORK POSTURE DESIGN SYSTEM
    Miura, Kazuki
    Izumi, Kazuhiko
    Kajihara, Yasuhiro
    Taki, Seiko
    ICIM2012: PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON INDUSTRIAL MANAGEMENT, 2012, : 129 - 133
  • [45] Anomaly Detection for Civil Aviation Pilots Using Step-Sensors
    Yuan, Weiwei
    Zhou, Li
    Guan, Donghai
    Han, Guangjie
    Shu, Lei
    IEEE ACCESS, 2017, 5 : 11236 - 11243
  • [46] Smart Fall Detection Framework Using Hybridized Video and Ultrasonic Sensors
    Hsu, Feng-Shuo
    Chang, Tang-Chen
    Su, Zi-Jun
    Huang, Shin-Jhe
    Chen, Chien-Chang
    MICROMACHINES, 2021, 12 (05)
  • [47] Onebody: Remote Posture Guidance System using First Person View in Virtual Environment
    Hoang, Thuong N.
    Reinoso, Martin
    Vetere, Frank
    Tanin, Egemen
    PROCEEDINGS OF THE NORDICHI '16: THE 9TH NORDIC CONFERENCE ON HUMAN-COMPUTER INTERACTION - GAME CHANGING DESIGN, 2016,
  • [48] Intelligent System for Identification of Wheelchair User's Posture Using Machine Learning Techniques
    Rosero-Montalvo, Paul D.
    Hernn Peluffo-Ordonez, Diego
    Lopez Batista, Vivian Felix
    Serrano, Jorge
    Rosero-Rosero, Edwin A.
    IEEE SENSORS JOURNAL, 2019, 19 (05) : 1936 - 1942
  • [50] A Motion Tutoring System by Using Virtual-Robot and Sensors
    Kim, Tae-Jin
    Lee, Kyoung-Tae
    Kim, Nam-Hyeok
    NEXT WAVE IN ROBOTICS, 2011, 212 : 1 - 7