A Low-Cost Human Gait Analysis System

Chan, Siow Cheng; Chan, Yu T’ng; Chong, Yu Zheng

doi:10.1007/978-3-030-90724-2_21

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…To address these challenges, alternative automated systems have emerged to conduct gait analysis and assessments [5]. These systems encompass a wide array of technologies, including motion capture systems [6,7], and video cameras [8]. While undeniably effective in suitable contexts with the requisite infrastructure and trained personnel, these methods are not universally accessible or convenient.…”

Section: Introductionmentioning

confidence: 99%

Examining Gait Characteristics in People with Osteoporosis Utilizing a Non-Wheeled Smart Walker through Spatiotemporal Analysis

Ejaz,

Khan,

Azim

et al. 2023

Applied Sciences

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Fragility fractures, caused by low-energy trauma, are a significant global health concern, with 158 million people aged 50 and over at risk. Hip fractures, a common issue in elderly patients, are often linked to underlying conditions such as osteoporosis. This study proposed a cost-effective solution using a non-wheeled smart walker with load sensors to measure gait parameters, addressing the high cost of traditional gait analysis equipment, the prototype used PASCO load cells PS2200 for force measurement, eliminating the need for Arduino UNO or microcontroller-based hardware. A lightweight amplifier PS2198 amplified the signal, which was transmitted via USB to a personal computer. PASCO capstone software was used for data recording and visualization. The smart walker was tested on forty volunteers divided into two equal groups: those with osteoporosis and those without, by performing a 10 m walk test three times. ANOVA comparing spatiotemporal parameters (TSPs) of the two participant groups (α = 0.05) showed that significant differences lay in terms of time taken to complete the walk test (p < 0.01), left step length (p = 0.03), walking speed (p = 0.02), and stride length (p < 0.02). The results indicate that this smart walker is a reliable tool for assessing gait patterns in individuals with osteoporosis. The proposed system can be an alternative for time consuming and costly methods such as motion capture, and for socially stigmatizing devices such as exoskeletons. It can also be used further to identify risk factors of osteoporosis.

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Section: Introductionmentioning

confidence: 99%

Examining Gait Characteristics in People with Osteoporosis Utilizing a Non-Wheeled Smart Walker through Spatiotemporal Analysis

Ejaz,

Khan,

Azim

et al. 2023

Applied Sciences

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“…A study was conducted to investigate the reliability of the Kinovea program to measure the cervical range of motion of the healthy subjects [6]. The most feasible way to develop a cost effective gait analyzer using markers on the subject with motion capturing is presented in the paper [7]. The lower limb movement analysis with different muscular activities are shown here [8].…”

Section: Review Workmentioning

confidence: 99%

Human Lower Extremity Motion Analysis introducing Kinovea

Das¹,

Sarkar²,

Neogi³

2022

YMER

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Human Motion is the most effective and fundamental functionality utilizing the lower extremities or legs. The replication of human movement is possible in the humanoid robots with simulation related prerequisites. The forward and backward motion simulation of the normal left and right leg is the primary requirement which has been demonstrated in this research paper. The balancing of body is feasible with the leg motion simulation in different conditions such as vertical acceleration and horizontal velocity. The leg motion video of 8secs with forward and backward movement has been taken into consideration for the simulation purpose to check the activity level of the legs. The similar movements can be mimicked in the autonomous bio-robotic systems. Keywords: Leg movement, Robotics, Kinovea, Motion simulation.

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“…A new method for low-cost gait analysis based on the combination of the micro-Doppler spectrogram and skeletal pose estimation using millimetre-wave for human activity recognition, was proposed by Alanazi et al 18 The results demonstrated the capability of the system to track multiple people at the same time and identify human activities in different environmental conditions. A low-cost system to analyse the human ankle joint moments on the sagittal plane, was proposed by Chan et al 19 The proposed system requires a digital camera to capture the markers’ coordinates, and a force plate to measure the vertical ground reaction force. However, the use of one camera limits the motion capture to 2D information.…”

Section: Introductionmentioning

confidence: 99%

Development of a new low-cost computer vision system for human gait analysis: A case study

Bernal-Torres

Medellín-Castillo

González

2023

Proc Inst Mech Eng H

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Today, human gait analysis is commonly used for clinical diagnosis, rehabilitation and performance improvement in sports. However, although previous research works in the literature address the use of motion capture systems by means of optoelectronic sensors, Inertial Measurement Units (IMUs) and depth cameras, few of them discuss their conception, guidelines and algorithms for measuring and calculating gait metrics. Moreover, commercially available motion capture systems, although efficient, are cost restrictive for most of the low-income institutions. In this research work, a new computer vision-based system (CVS) for gait analysis is developed and proposed. The aim is to close the gap found in the literature about the design and development of such systems by providing the requirements, considerations, algorithms and methodologies used to develop a gait analysis system with acceptable precision and accuracy, and at low cost. For this purpose, a linear computer vision method based on the non-homogeneous solution of the calibration matrix was used. The spatio-temporal and angular gait parameters were implemented in the proposed system, and compared with those reported in the literature. The denoising of the spatial gait trajectories and the strategies to detect gait events, are also presented and discussed. The results have shown that the proposed system is satisfactory for human gait analysis in terms of precision, computational performance and low cost.

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A Low-Cost Human Gait Analysis System

Cited by 3 publications

References 13 publications

Examining Gait Characteristics in People with Osteoporosis Utilizing a Non-Wheeled Smart Walker through Spatiotemporal Analysis

Examining Gait Characteristics in People with Osteoporosis Utilizing a Non-Wheeled Smart Walker through Spatiotemporal Analysis

Human Lower Extremity Motion Analysis introducing Kinovea

Development of a new low-cost computer vision system for human gait analysis: A case study

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