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] Robot-Assisted and Wearable Sensor-Mediated Autonomous Gait Analysis
    Zhang, Huanghe
    Chen, Zhuo
    Zanotto, Damiano
    Guo, Yi
    2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2020, : 6795 - 6802
  • [32] A Wearable Ultrasonic-Based Ankle Angle and Toe Clearance Sensing System for Gait Analysis
    Mani, Neelakandan
    Haridoss, Prathap
    George, Boby
    IEEE SENSORS JOURNAL, 2021, 21 (06) : 8593 - 8603
  • [33] Evaluation of gait characteristics in subjects with locomotive syndrome using wearable gait sensors
    Saito, Yuki
    Ishida, Tomoya
    Kataoka, Yoshiaki
    Takeda, Ryo
    Tadano, Shigeru
    Suzuki, Teppei
    Nakamura, Kentaro
    Nakata, Akimi
    Osuka, Satoshi
    Yamada, Satoshi
    Samukawa, Mina
    Tohyama, Harukazu
    BMC MUSCULOSKELETAL DISORDERS, 2022, 23 (01)
  • [34] Implementation of an iPod Application as a Wearable and Wireless Accelerometer System for Identifying Quantified Disparity of Hemiplegic Gait
    LeMoyne, Robert
    Mastroianni, Timothy
    JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2014, 4 (04) : 634 - 641
  • [35] A multi-sensor wearable system for the assessment of diseased gait in real-world conditions
    Salis, Francesca
    Bertuletti, Stefano
    Bonci, Tecla
    Caruso, Marco
    Scott, Kirsty
    Alcock, Lisa
    Buckley, Ellen
    Gazit, Eran
    Hansen, Clint
    Schwickert, Lars
    Aminian, Kamiar
    Becker, Clemens
    Brown, Philip
    Carsin, Anne-Elie
    Caulfield, Brian
    Chiari, Lorenzo
    D'Ascanio, Ilaria
    Del Din, Silvia
    Eskofier, Bjoern M.
    Garcia-Aymerich, Judith
    Hausdorff, Jeffrey M.
    Hume, Emily C.
    Kirk, Cameron
    Kluge, Felix
    Koch, Sarah
    Kuederle, Arne
    Maetzler, Walter
    Mico-Amigo, Encarna M.
    Mueller, Arne
    Neatrour, Isabel
    Paraschiv-Ionescu, Anisoara
    Palmerini, Luca
    Yarnall, Alison J.
    Rochester, Lynn
    Sharrack, Basil
    Singleton, David
    Vereijken, Beatrix
    Vogiatzis, Ioannis
    Della Croce, Ugo
    Mazza, Claudia
    Cereatti, Andrea
    FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2023, 11
  • [36] Reliability and Validity of a Wearable Sensing System and Online Gait Analysis Report in Persons after Stroke
    Schwarz, Anne
    Al-Haj Husain, Adib
    Einaudi, Lorenzo
    Thurlimann, Eva
    Laderach, Julia
    Awai Easthope, Chris
    Held, Jeremia P. O.
    Luft, Andreas R.
    SENSORS, 2023, 23 (02)
  • [37] A Wearable Ground Reaction Force Sensor System and Its Application to the Measurement of Extrinsic Gait Variability
    Liu, Tao
    Inoue, Yoshio
    Shibata, Kyoko
    SENSORS, 2010, 10 (11) : 10240 - 10255
  • [38] Triaxial joint moment estimation using a wearable three-dimensional gait analysis system
    Liu, T.
    Inoue, Y.
    Shibata, K.
    Shiojima, K.
    Han, M. M.
    MEASUREMENT, 2014, 47 : 125 - 129
  • [39] Gait quantification and visualization for digital healthcare
    Anwary, Arif Reza
    Yu, Hongnian
    Vassallo, Michael
    HEALTH POLICY AND TECHNOLOGY, 2020, 9 (02) : 204 - 212
  • [40] Use of the Gait Profile Score for the Quantification of Gait Pattern in Down Syndrome
    Galli, Manuela
    Cimolin, Veronica
    Rigoldi, Chiara
    Kleiner, Ana
    Condoluci, Claudia
    Albertini, Giorgio
    JOURNAL OF DEVELOPMENTAL AND PHYSICAL DISABILITIES, 2015, 27 (05) : 609 - 615