Design of a Capacitance Sensor for Human Intention Detection of Daily Living Activities

被引:2
|
作者
Jung, Pyeong-Gook [1 ]
Amirat, Yacine [1 ]
Mohammed, Samer [1 ]
机构
[1] Univ Paris Est Creteil, Lab Images Signals & Intelligent Syst, F-94000 Creteil, France
来源
IFAC PAPERSONLINE | 2020年 / 53卷 / 02期
关键词
Intention recognition; wearable robot; exoskeleton robot; electromyography; mechanomyography; human-machine interface; human-robot interface; human mechatronics; ELECTRICAL-STIMULATION; SUIT;
D O I
10.1016/j.ifacol.2020.12.1417
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As many countries enter an aging society, the demand of wearable robots are increasing. To apply wearable robots in daily life, the intention recognition of the wearers is of great important. Although this research field has been extensively studied in the last decade, still the physical intention recognition based approaches are facing different challenges and in particular when used in assistive and rehabilitation scenarios. In this paper, we propose to monitor muscular activities of the shank and movement of the ankle joint by using capacitance sensors. The proposed capacitance sensor monitor the electrodermal activities under the human skin. The human skin has capacitance when an external current is applied and muscular activities can change the capacitance. To verify the proposed capacitance sensor, the human joint angle was measured by two inertial sensors and the capacitance sensor on the shank at once. The electromyogram(EMG) signals were also compared to verify the performance of the intention detection device based on the capacitance sensors. Copyright (C) 2020 The Authors.
引用
收藏
页码:8525 / 8530
页数:6
相关论文
共 50 条
  • [1] Ambient and Wearable Sensor Fusion for Abnormal Behaviour Detection in Activities of Daily Living
    Garcia-Constantino, M.
    Konios, A.
    Mustafa, M. A.
    Nugent, C.
    Morrison, G.
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS), 2020,
  • [2] Sensor Fusion for Recognition of Activities of Daily Living
    Wu, Jiaxuan
    Feng, Yunfei
    Sun, Peng
    [J]. SENSORS, 2018, 18 (11)
  • [3] Activities of Daily Living Detection on Healthcare: A Categorization
    Negrete Ramirez, Jose Manuel
    Cardinale, Yudith
    [J]. 7TH INTERNATIONAL WORKSHOP ON SENSOR-BASED ACTIVITY RECOGNITION AND ARTIFICIAL INTELLIGENCE, IWOAR 2022, 2022,
  • [4] Fall Detection of the Elderly in the Activities of Daily Living
    Lee, Taekyeong
    Lee, Youngho
    Kim, Jaemin
    Jung, Soonmoon
    Yang, Dongwook
    Jo, Beomgeun
    Lee, Jeongwoo
    Hong, Junghwa
    [J]. SEVENTH INTERNATIONAL CONFERENCE ON PERFORMANCE, SAFETY AND ROBUSTNESS IN COMPLEX SYSTEMS AND APPLICATIONS (PESARO 2017), 2017, : 1 - 2
  • [5] Annotating Sensor Data to Identify Activities of Daily Living
    Donnelly, Mark
    Magherini, Tommaso
    Nugent, Chris
    Cruciani, Federico
    Paggetti, Cristiano
    [J]. TOWARD USEFUL SERVICES FOR ELDERLY AND PEOPLE WITH DISABILITIES, 2011, 6719 : 41 - +
  • [6] Study on Activities of Daily Living of Human Body
    Zhang, Jianguo
    Song, Haiyan
    Xue, Qiang
    [J]. IEEM: 2008 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS 1-3, 2008, : 744 - +
  • [7] Visual Fall Detection From Activities of Daily Living for Assistive Living
    Wahla, Samyan Qayyum
    Ghani, Muhammad Usman
    [J]. IEEE ACCESS, 2023, 11 : 108876 - 108890
  • [8] Motion sensor dyskinesia assessment during activities of daily living
    Pulliam, C. L.
    Burack, M. A.
    Giuffrida, J. P.
    Heldman, D. A.
    Mera, T. O.
    [J]. MOVEMENT DISORDERS, 2014, 29 : S190 - S190
  • [9] Motion Sensor Dyskinesia Assessment During Activities of Daily Living
    Pulliam, Christopher L.
    Burack, Michelle A.
    Heldman, Dustin A.
    Giuffrida, Joseph P.
    Mera, Thomas O.
    [J]. JOURNAL OF PARKINSONS DISEASE, 2014, 4 (04) : 609 - 615
  • [10] Assessment of the impact of sensor failure in the recognition of activities of daily living
    Hong, X.
    Nugent, C. D.
    Mulvenna, M. D.
    McClean, S. I.
    Scotney, B. W.
    Devlin, S.
    [J]. SMART HOMES AND HEALTH TELEMATICS, 2008, 5120 : 136 - +