Real Time Gait Analysis Using RGB Camera

2016 ◽  
pp. 111-120 ◽  
Author(s):  
Mario Nieto-Hidalgo ◽  
Juan Manuel García-Chamizo
Keyword(s):  
Gait Analysis ◽  
Real Time

scholarly journals Wearable Sensor-Based Real-Time Gait Detection: A Systematic Review

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2727
Author(s):  
Hari Prasanth ◽  
Miroslav Caban ◽  
Urs Keller ◽  
Grégoire Courtine ◽  
Auke Ijspeert ◽  
...  
Keyword(s):  
Systematic Review ◽  
Gait Analysis ◽  
Real Time ◽  
Wearable Sensors ◽  
Pressure Sensors ◽  
Clinical Applications ◽  
Performance Comparison ◽  
Heel Strike ◽  
Rule Based ◽  
Pathological Gait

Gait analysis has traditionally been carried out in a laboratory environment using expensive equipment, but, recently, reliable, affordable, and wearable sensors have enabled integration into clinical applications as well as use during activities of daily living. Real-time gait analysis is key to the development of gait rehabilitation techniques and assistive devices such as neuroprostheses. This article presents a systematic review of wearable sensors and techniques used in real-time gait analysis, and their application to pathological gait. From four major scientific databases, we identified 1262 articles of which 113 were analyzed in full-text. We found that heel strike and toe off are the most sought-after gait events. Inertial measurement units (IMU) are the most widely used wearable sensors and the shank and foot are the preferred placements. Insole pressure sensors are the most common sensors for ground-truth validation for IMU-based gait detection. Rule-based techniques relying on threshold or peak detection are the most widely used gait detection method. The heterogeneity of evaluation criteria prevented quantitative performance comparison of all methods. Although most studies predicted that the proposed methods would work on pathological gait, less than one third were validated on such data. Clinical applications of gait detection algorithms were considered, and we recommend a combination of IMU and rule-based methods as an optimal solution.

Real-time approach for gait analysis using the Kinect v2 sensor for clinical assessment purpose

2020 ◽  
Author(s):  
Alexandre de Queiroz Burle ◽  
Thiago Buarque de Gusmao Lafayette ◽  
Jose Roberto Fonseca ◽  
Veronica Teichrieb ◽  
Alana Elza Fontes Da Gama
Keyword(s):  
Gait Analysis ◽  
Real Time ◽  
Clinical Assessment ◽  
Kinect V2

scholarly journals Joint angle estimation with wavelet neural networks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Saaveethya Sivakumar ◽  
Alpha Agape Gopalai ◽  
King Hann Lim ◽  
Darwin Gouwanda ◽  
Sunita Chauhan
Keyword(s):  
Gait Analysis ◽  
Real Time ◽  
Monitoring Applications ◽  
Reaction Forces ◽  
Multiple Sensor ◽  
Vertical Ground ◽  
Overall Performance ◽  
Gait Monitoring ◽  
Vertical Ground Reaction Forces ◽  
And Control

AbstractThis paper presents a wavelet neural network (WNN) based method to reduce reliance on wearable kinematic sensors in gait analysis. Wearable kinematic sensors hinder real-time outdoor gait monitoring applications due to drawbacks caused by multiple sensor placements and sensor offset errors. The proposed WNN method uses vertical Ground Reaction Forces (vGRFs) measured from foot kinetic sensors as inputs to estimate ankle, knee, and hip joint angles. Salient vGRF inputs are extracted from primary gait event intervals. These selected gait inputs facilitate future integration with smart insoles for real-time outdoor gait studies. The proposed concept potentially reduces the number of body-mounted kinematics sensors used in gait analysis applications, hence leading to a simplified sensor placement and control circuitry without deteriorating the overall performance.

scholarly journals Kinect as a Tool for Gait Analysis: Validation of a Real-Time Joint Extraction Algorithm Working in Side View

Sensors ◽  
2015 ◽  
Vol 15 (1) ◽  
pp. 1417-1434 ◽  
Author(s):  
Enea Cippitelli ◽  
Samuele Gasparrini ◽  
Susanna Spinsante ◽  
Ennio Gambi
Keyword(s):  
Gait Analysis ◽  
Real Time ◽  
Side View ◽  
Extraction Algorithm

Intra-rater and inter-rater reliabilities of real-time acceleration gait analysis system

2014 ◽  
pp. 1-6
Author(s):  
Hiroshi Osaka ◽  
Koichi Shinkoda ◽  
Susumu Watanabe ◽  
Daisuke Fujita ◽  
Kenichi Kobara ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Real Time ◽  
Analysis System

scholarly journals Real-Time Gait Analysis Using a Single Head-Worn Inertial Measurement Unit

2018 ◽  
Vol 64 (2) ◽  
pp. 240-248 ◽  
Author(s):  
Tong-Hun Hwang ◽  
Julia Reh ◽  
Alfred O. Effenberg ◽  
Holger Blume
Keyword(s):  
Gait Analysis ◽  
Real Time ◽  
Inertial Measurement Unit ◽  
Measurement Unit ◽  
Inertial Measurement

scholarly journals Human Pose Estimation-Based Real-Time Gait Analysis Using Convolutional Neural Network

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 191542-191550
Author(s):  
Ali Rohan ◽  
Mohammed Rabah ◽  
Tarek Hosny ◽  
Sung-Ho Kim
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Gait Analysis ◽  
Real Time ◽  
Pose Estimation ◽  
Human Pose Estimation ◽  
Human Pose

Wearable system for auditory feedback based on real-time gait analysis: Application on patients with Parkinson's disease

2014 ◽  
Vol 40 ◽  
pp. S19-S20
Author(s):  
A. Ferrari ◽  
B. Milosevic ◽  
F. Casamassima ◽  
L. Chiari ◽  
L. Rocchi
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Gait Analysis ◽  
Real Time ◽  
Auditory Feedback ◽  
Wearable System ◽  
Analysis Application
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