GaitWEAR: An Augmented Wearable System for Gait Quantification

被引:0
|
作者
Raghuvanshi, Ankita [1 ]
Mitra, Paromita [1 ]
Rane, Dharma [1 ]
Kumar, Suhagiya Dharmik [2 ]
Lahiri, Uttama [1 ]
机构
[1] Indian Inst Technol Gandhinagar, Discipline Elect Engn, Gandhinagar 382355, India
[2] Aksharkrupa Hosp, Ahmadabad 380004, Gujarat, India
关键词
Force-sensitive resistors; gait analysis; GAITRite; inertial measurement units (IMUs); wearable technology; WALKING SPEED;
D O I
10.1109/JSEN.2024.3456907
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Often, one's gait needs to be quantified to evaluate functional status and overall health. Given the difficulties associated with observation-based methods, researchers have been using technology-assisted systems, e.g., motion capture and pressure-mat systems. Despite offering high accuracy, these systems entail high cost, reduced portability, and confinement to controlled settings. To overcome such challenges, wearable solutions are being explored. Specifically, currently existing systems with only inertial measurement units (IMUs) have been used to quantify gait. Alternately, researchers have used instrumented shoes with insoles impregnated with varying force sensors to quantify one's gait. This offers a direct measure of temporal parameters of gait, while spatial and spatiotemporal parameters of gait are derived from the temporal measures and information on the pathway being traversed. Augmenting instrumented shoes with IMUs can offer an avenue to get a direct measure of the spatial, temporal, and spatiotemporal parameters of gait. Motivated by this alternate approach, we present an integrated system (Gait(WEAR)) comprising of instrumented shoes and IMUs. Subsequently, we evaluated the performance of GaitWEAR and that of the currently existing system having only IMUs (only IMU-based system) while comparing their performances (in terms of gait parameters) with state-of-the-art pressure-mat-based system. Results of our evaluation study involving 32 participants (healthy young, elderly with and without gait abnormality) suggest that Gait(WEAR) demonstrated superior performance through improved agreement with the state-of-the-art system (irrespective of age and gait health) and better clinical relevance than the only IMU-based system, particularly in the case of gait abnormality.
引用
收藏
页码:35673 / 35685
页数:13
相关论文
共 50 条
  • [31] Gait Monitor and Analyzer (GMA): A Wearable Sensor-based Gait Analysis System
    Lopes, Tiago
    Morgado, Carmen
    Barbosa, Fernanda
    2022 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS AND OTHER AFFILIATED EVENTS (PERCOM WORKSHOPS), 2022,
  • [32] An Easy Wearable Gait Assessment System for Assessing Stroke Patients
    Tseng, Mu-Hsun
    Chen, Tain-Song
    Chang, Ya-Ting
    2020 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2020), 2021, : 209 - 211
  • [33] Design and Evaluation of SONIS, a Wearable Biofeedback System for Gait Retraining
    Biesmans, Sander
    Markopoulos, Panos
    MULTIMODAL TECHNOLOGIES AND INTERACTION, 2020, 4 (03) : 1 - 13
  • [34] Wearable Gait Measurement System with an Instrumented Cane for Exoskeleton Control
    Hassan, Modar
    Kadone, Hideki
    Suzuki, Kenji
    Sankai, Yoshiyuki
    SENSORS, 2014, 14 (01) : 1705 - 1722
  • [35] Novel approach of gait analysis based on wearable sensor system
    Li Zhiwei
    Tanaka, Tsuyoshi
    Inoue, Yoshio
    Shibata, Kyoko
    PROCEEDINGS OF THE FIFTH INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOLS 1 AND 2, 2014, : 499 - 504
  • [36] Wearable gait analysis system for ambulatory measurement of kinematics and kinetics
    Li, Guangyi
    Liu, Tao
    Gu, Linyi
    Inoue, Yoshio
    Ning, Haojie
    Han, Meimei
    2014 IEEE SENSORS, 2014,
  • [37] TailGait: A Light-Weight Wearable Gait Analysis System
    Manit, Jirapong
    Youngkong, Prakarnkiat
    2013 SEVENTH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST), 2013, : 540 - 544
  • [38] Wearable data collection system for online gait stability analysis
    Karcnik, T
    Watanabe, T
    Futami, R
    Hoshimiya, N
    NEUROMODULATION, 2004, 7 (03): : 223 - 229
  • [39] A Wearable System for Gait Training in Subjects with Parkinson's Disease
    Casamassima, Filippo
    Ferrari, Alberto
    Milosevic, Bojan
    Ginis, Pieter
    Farella, Elisabetta
    Rocchi, Laura
    SENSORS, 2014, 14 (04) : 6229 - 6246
  • [40] On-line Learning System for Gait Assistance with Wearable Robot
    Kagawa, Takahiro
    Takahashi, Fumiya
    Uno, Yoji
    2017 56TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), 2017, : 640 - 643