Performance analysis for gait in camera networks

Goffredo, Michela; Bouchrika, Imed; Carter, John N.; Nixon, Mark S.

doi:10.1145/1463542.1463555

Cited by 10 publications

(4 citation statements)

References 52 publications

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“…The frame rate of the camera used in the experiment was 25 Hz [ 28 , 29 , 30 ]. The Observer XT was used for analyzing, managing, and presenting observational data.…”

Section: Methodsmentioning

confidence: 99%

Video-Based Behaviorally Coded Movement Assessment for Adolescents with Intellectual Disabilities: Application in Leg Dribbling Performance

Cheng

et al. 2022

Sensors

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Measuring motor performance in individuals with intellectual disabilities (ID) is quite challenging. The objective of this study was to compare the motor performances of individuals with ID and those with typical development (TD) during soccer dribbling through video-based behavior-coded movement assessment along with a wearable sensor. A cross-sectional research design was adopted. Adolescents with TD (N = 25) and ID (N = 29) participated in the straight-line and zigzag soccer dribbling tests. The dribbling performance was videotaped, and the footage was then analyzed with customized behavior-coding software. The coded parameters were the time for movement completion, the number of kicks, blocks, steps, the number of times the ball went out of bounds, the number of missed cones, and the trunk tilt angle. Participants with ID exhibited significantly poorer performance and demonstrated greater variances in many time and frequency domain parameters. It also revealed that participants with ID kicked with both feet while dribbling, whereas those with TD mainly used the dominant foot. The present findings demonstrated how the ID population differed from their peers in lower-extremity strategic control. The customized video-based behavior-coded approach provides an efficient and effective way to gather behavioral data and calculate performance parameter statistics in populations with intellectual disabilities.

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“…The frame rate of the camera used in the experiment was 25 Hz [ 28 , 29 , 30 ]. The Observer XT was used for analyzing, managing, and presenting observational data.…”

Section: Methodsmentioning

confidence: 99%

Video-Based Behaviorally Coded Movement Assessment for Adolescents with Intellectual Disabilities: Application in Leg Dribbling Performance

Cheng

et al. 2022

Sensors

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“…As an item of the SPPB test and important parameter for functional decline, gait speed is focused as well. Approaches using cameras to measure the gait speed in domestic environments are introduced in [ 16 , 17 , 18 ]. Instead of cameras, more privacy respecting ambient sensors can be used as well like in [ 19 , 20 , 21 , 22 ].…”

Section: State Of the Artmentioning

confidence: 99%

A Deep Learning Approach for TUG and SPPB Score Prediction of (Pre-) Frail Older Adults on Real-Life IMU Data

Friedrich¹,

Lau

Elgert

et al. 2021

Healthcare

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Since older adults are prone to functional decline, using Inertial-Measurement-Units (IMU) for mobility assessment score prediction gives valuable information to physicians to diagnose changes in mobility and physical performance at an early stage and increases the chances of rehabilitation. This research introduces an approach for predicting the score of the Timed Up & Go test and Short-Physical-Performance-Battery assessment using IMU data and deep neural networks. The approach is validated on real-world data of a cohort of 20 frail or (pre-) frail older adults of an average of 84.7 years. The deep neural networks achieve an accuracy of about 95% for both tests for participants known by the network.

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“…An innovative yet simple method for locating the articulation points of the lower limb joints was implemented by M. Goffredo et al [76]. By making smart estimates on where to initialise the points, the point-light data for the hip, both knees and ankles were extracted.…”

Section: Model-based Techniquesmentioning

confidence: 99%

Trait of Gait: A Survey on Gait Biometrics

Isaac,

Elias,

Rajagopalan

et al. 2019

Preprint

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Gait analysis is the study of the systematic methods that assess and quantify animal locomotion. The research on gait analysis has considerably evolved through time. It was an ancient art, and it still finds its application today in modern science and medicine. This paper describes how one's gait can be used as a biometric. It shall diversely cover salient research done within the field and explain the nuances and advances in each type of gait analysis. The prominent methods of gait recognition from the early era to the state of the art are covered. This survey also reviews the various gait datasets. The overall aim of this study is to provide a concise roadmap for anyone who wishes to do research in the field of gait biometrics.

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Performance analysis for gait in camera networks

Cited by 10 publications

References 52 publications

Video-Based Behaviorally Coded Movement Assessment for Adolescents with Intellectual Disabilities: Application in Leg Dribbling Performance

Video-Based Behaviorally Coded Movement Assessment for Adolescents with Intellectual Disabilities: Application in Leg Dribbling Performance

A Deep Learning Approach for TUG and SPPB Score Prediction of (Pre-) Frail Older Adults on Real-Life IMU Data

Trait of Gait: A Survey on Gait Biometrics

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