A gait recognition based on link model of infrared thermal imaging

Zhan, Lin; Xu, Yichen; Dai, Zuoxiao; Ma, Bei

doi:10.1109/ccsse.2016.7784375

Cited by 6 publications

(2 citation statements)

References 8 publications

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“…Gait estimation has also been explored using infrared thermal cameras. In one study, Lu et al [21] proposed the use of thermal imaging techniques to estimate gait using a link model based on human body joints and a support vector machine (SVM) classifier to extract a feature vector of each joint. Kim et al leveraged a modelbased object tracking algorithm with a robust silhouette extraction (accuracy superior to 90% when compared with manually inputted ground truth) with potential application for gait monitoring [19].…”

Section: Wireless Gait Monitoringmentioning

confidence: 99%

Comparative Analysis of Gait Speed Estimation Using Wideband and Narrowband Radars, Thermal Camera, and Motion Tracking Suit Technologies

Morita

Rocha

Shaker

et al. 2020

J Healthc Inform Res

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Research has shown that cognitive and physical functioning of older adults can be reflected in indicators such as walking speed. While changes in cognition, mobility, or health cause changes in gait speed, often gradual variations in walking speed go undetected until severe problems arise. Discrete clinical assessments during clinical consultations often fail to detect changes in day-today walking speeds and do not reflect walking speeds in everyday environments, where most of the mobility issues happen. In this paper, we compare four walking speed measurement technologies to a GAITRite mat (gold standard): (1) an ultra wideband radar (covering the band from 3.3 GHz to 10 GHz), (2) a narrow band 24-GHz radar (with a bandwidth of 250 MHz), (3) a perception Neuron Motion Tracking suit, and (4) a thermal camera. Data were collected in parallel using all sensors at the same time for 10 healthy adults for normal and slow walking paces. A comparison of the sensors indicates better performance at lower gait speeds, with offsets (when compared to GAITRite) between 0.1 and 20% for the ultra wideband radar, 1.9 and 17% for the narrowband radar, 0.1 and 38% for the thermal camera, and 1.7 and 38% for the suit. This paper supports the potential of unobtrusive radar-based sensors and thermal camera technologies for ambient autonomous gait speed monitoring for contextual, privacy-preserving monitoring of participants in the community.

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Section: Wireless Gait Monitoringmentioning

confidence: 99%

Comparative Analysis of Gait Speed Estimation Using Wideband and Narrowband Radars, Thermal Camera, and Motion Tracking Suit Technologies

Morita

Rocha

Shaker

et al. 2020

J Healthc Inform Res

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show abstract

“…Different types of low frequency (5-8 GHz) radars for gait speed assessment have been reported using a variety of continuous wave (CW) and pulse Doppler radars (Boroomand et al, 2018;Cuddihy et al, 2012;Hsu et al, 2017;Vishwakarma et al, 2018). Gait estimation has also been explored using infrared thermal cameras (DeCann and Ross, 2010; Kim, Lee, and Paik, 2009;Lu et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Comparison of Gait Speed Estimation of Multiple Sensor-Based Technologies

Morita

Rocha

Shaker

et al. 2019

Proceedings of the International Symposium on Human Factors and

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In light of our aging population, there is an immediate need for non-obtrusive, continuous, and ubiquitous health monitoring technologies that will enable our population to age with a higher quality of life and independence. Research has demonstrated that gait indicators, such as walking speed, can reflect cognitive and physical functioning. However, gradual changes in such indicators usually go undetected until critical problems arise; being able to detect changes in indicators, such as gait deterioration, of older adults while in their home environments would enable clinicians to tailor more effective and personalized interventions by better understanding user behaviour in real-world settings. Real-world data is essential to enabling our healthcare system to act where patients most need help and to optimize the effect of designed eHealth solutions.

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Human identification by walk recognition using relevance vector machine

Parise

2017

2017 International Conference on IoT and Application (ICIOT)

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A gait recognition based on link model of infrared thermal imaging

Cited by 6 publications

References 8 publications

Comparative Analysis of Gait Speed Estimation Using Wideband and Narrowband Radars, Thermal Camera, and Motion Tracking Suit Technologies

Comparative Analysis of Gait Speed Estimation Using Wideband and Narrowband Radars, Thermal Camera, and Motion Tracking Suit Technologies

Comparison of Gait Speed Estimation of Multiple Sensor-Based Technologies

Human identification by walk recognition using relevance vector machine

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