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
  • [21] Assisted Living System Architecture Based on Bluetooth low Energy and Wearable Sensors
    Kajor, Marcin
    Grochala, Dominik
    Grochala, Michal
    Iwaniec, Marek
    Lemejda, Justyna
    2020 IEEE XVITH INTERNATIONAL CONFERENCE ON THE PERSPECTIVE TECHNOLOGIES AND METHODS IN MEMS DESIGN (MEMSTECH), 2020, : 36 - 39
  • [22] Application of Fuzzy and Rough Logic to Posture Recognition in Fall Detection System
    Pekala, Barbara
    Mroczek, Teresa
    Gil, Dorota
    Kepski, Michal
    SENSORS, 2022, 22 (04)
  • [23] POSTURE-INVARIANT ECG RECOGNITION WITH POSTURE DETECTION
    Wahabi, Saeid
    Pouryayevali, Shahrzad
    Hatzinakos, Dimitrios
    2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP), 2015, : 1812 - 1816
  • [24] Low Power Optimisations for IoT Wearable Sensors Based on Evaluation of Nine QRS Detection Algorithms
    Li, Jiamin
    Ashraf, Adnan
    Cardiff, Barry
    Panicker, Rajesh C.
    Lian, Yong
    John, Deepu
    IEEE OPEN JOURNAL OF CIRCUITS AND SYSTEMS, 2020, 1 : 115 - 123
  • [25] On the Analysis of Human Posture for Detecting Social Interactions with Wearable Devices
    Baronti, Paolo
    Girolami, Michele
    Mavilia, Fabio
    Palumbo, Filipp
    Luisetto, Giancarlo
    PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL CONFERENCE ON HUMAN-MACHINE SYSTEMS (ICHMS), 2020, : 340 - 345
  • [26] Detection of sitting posture using hierarchical image composition and deep learning
    Kulikajevas, Audrius
    Maskeliunas, Rytis
    Damasevicius, Robertas
    PEERJ COMPUTER SCIENCE, 2021, PeerJ Inc. (07) : 1 - 20
  • [27] Force Sensitive Resistors-Based Real-Time Posture Detection System Using Machine Learning Algorithms
    Javaid, Arsal
    Abbas, Areeb
    Arshad, Jehangir
    Rahmani, Mohammad Khalid Imam
    Chauhdary, Sohaib Tahir
    Jaffery, Mujtaba Hussain
    Banga, Abdulbasid S.
    CMC-COMPUTERS MATERIALS & CONTINUA, 2023, 77 (02): : 1795 - 1814
  • [28] Quantifying varus thrust in knee osteoarthritis using wearable inertial sensors: A proof of concept
    Costello, Kerry E.
    Eigenbrot, Samantha
    Geronimo, Alex
    Guermazi, Ali
    Felson, David T.
    Richards, Jim
    Kumar, Deepak
    CLINICAL BIOMECHANICS, 2020, 80
  • [29] Wearable Inertial Sensors for Range of Motion Assessment
    Rajkumar, Ashwin
    Vulpi, Fabio
    Bethi, Satish Reddy
    Wazir, Hassam Khan
    Raghavan, Preeti
    Kapila, Vikram
    IEEE SENSORS JOURNAL, 2020, 20 (07) : 3777 - 3787
  • [30] Three Dimensional Gait Analysis Using Wearable Acceleration and Gyro Sensors Based on Quaternion Calculations
    Tadano, Shigeru
    Takeda, Ryo
    Miyagawa, Hiroaki
    SENSORS, 2013, 13 (07): : 9321 - 9343