Depth image based gait tracking and analysis via robotic walker

Lim, Chung Dial; Cheng, Ching-Ying; Wang, Chia-Ming; Chao, Yen Chun; Fu, Li‐Chen

doi:10.1109/icra.2015.7140028

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…From this the angular motion θ can be identified. Table 5 shows step length error of a patient who walked in robotic walker (Lim et al, 2015b). Experiment done on one subject with five trial.…”

Section: Resultsmentioning

confidence: 99%

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Survey of Human Gait Analysis and Recognition for Medical and Forensic Applications

Jana

Das

Basu

et al. 2021

International Journal of Digital Crime and Forensics

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Gait is a behavioural biometric which sometimes changes due to diseases but it is still a strong identification metric that is widely used in forensic works, state biometric preserve sectors, and medical laboratories. Gait analysis sometimes helps to identify person’s present mental state which reflects on physiological therapy for improved biological system. There are various gait measurement forms which expand the research area from crime detection to medical enhancement. Many research works have been done so far for gait recognition. Many researchers focused on skeleton image of people to extract gait features and many worked on stride length. Various sensors have been used to detect gait in various light forms. This paper is a brief survey of works on gait recognition, collected from various sources of science and technology literature. We have discussed few efficient models that worked best as well as we have discussed about few data sets available.

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Section: Resultsmentioning

confidence: 99%

“…In 3D model consider each leg segment as cylinder. C. D. Limet al (Lim et al, 2015b) identified leg posture from robotic walker. Skeleton of leg segments (Figure 8) can be identified from there.…”

Section: D Leg Pose Trackingmentioning

confidence: 99%

Survey of Human Gait Analysis and Recognition for Medical and Forensic Applications

Jana

Das

Basu

et al. 2021

International Journal of Digital Crime and Forensics

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3D Visual-Based Human Motion Descriptors: A Review

Khokhlova¹,

Migniot²,

Dipandà³

2016

2016 12th International Conference on Signal-Image Technology &Amp; Internet-Based Systems (SITIS)

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International audienceThis paper aims to provide a comprehensive reference source on depth-based human motion descriptors. Motion description is a challenging problem which became popular with recent advances in 3D computer vision. Our goal is to introduce the main trends in human 3D motion descriptor design and evaluation next to presenting a review of recent methods belonging to three application categories: action recognition, gesture recognition and gait assessment

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Development of a Motorized Robotic Walker Guided by an Image Processing System for Human Walking Assistance and Rehabilitation

Shen

Afsar

Zhang

et al. 2018

Volume 1: Advances in Control Design Methods; Advances in Nonlinear Control; Advances in Robotics; Assistive and Rehabilitation

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Impaired mobility negatively impacts a patient’s life, both physically and mentally. Existing tools for the assistance of such individuals include passive walking aids, which tend to disrupt the users’ walking rhythms, and motorized wheelchairs, which preclude the muscle activity of the users’ lower limb. To address these problems, this paper proposes a new robotic walker guided by an image processing system. This system uses visual information from a 3D camera to estimate the user’s position and orientation, and the motion are sent to a PID controller to actuate the robot so that the robot can automatically follow the user to provide assistance if needed. Therefore, for regular walking, the device can accompany the user without interfering with the muscle activity of the lower limbs; for rehabilitation training, it may support the user and provide protection. To reduce the errors of the estimated position and orientation, a discrete derivative term is added into a conventional PI controller to form a mixed PID controller which can reduce the noise from measurement or image processing. Experimental results demonstrated the feasibility of the proposed robotic method, as well as the functionality and effectiveness of the whole robotic system.

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Depth image based gait tracking and analysis via robotic walker

Cited by 3 publications

References 8 publications

Survey of Human Gait Analysis and Recognition for Medical and Forensic Applications

Survey of Human Gait Analysis and Recognition for Medical and Forensic Applications

3D Visual-Based Human Motion Descriptors: A Review

Development of a Motorized Robotic Walker Guided by an Image Processing System for Human Walking Assistance and Rehabilitation

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