A Kinect-based system for physical rehabilitation: a pilot study for young adults with motor disabilities.

By Yao-Jen Chang, Shu-Fang Chen, Jun Huang. Research in Developmental Disabilities, 2011

859 citations recorded by the source corpus.

Subfields: Clinical Psychology, Developmental and Educational Psychology, Psychiatry and Mental health

View Paper: https://www.semanticscholar.org/paper/02d74fb830272616b2eb822465680f38ecc97fbe

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In Clinical Psychology

In Developmental and Educational Psychology

In Psychiatry and Mental health

Citations in the corpus

Human motion assessment in real time using recurrent self-organization (2016, methodology): “[4] proposed a physical rehabilitation system for young patients with motor disabilities using a Kinect sensor.”
3D skeleton-based human action classification: A survey (2016, background): “In several application domains, such as surveillance [1 – 4], human – computer interaction [5], assistive technologies [6], sign language [7 – 9], computational behavioral science [10,11] and consumer behavior analysis [12], the focus is the detection, recognition and analysis of human actions and…”
A Survey of Applications and Human Motion Recognition with Microsoft Kinect (2015, background): “Human motion recognition technologies have been used to monitor physical rehabilitation exercises and other patients’ activities long before the release of Microsoft Kinect.”
Evolutionary joint selection to improve human action recognition with RGB-D devices (2014, methodology): “In particular, RGB-D devices are used in ambient assisted living for fall detection (Mastorakis & Makris, 2012), physical rehabilitation (Chang et al., 2011; Huang, 2011), medical image exploration in operating rooms (Gallo et al.”
Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications (2012, background): “Kinect have attracted the attention of researchers from other fields [3–11] including mapping and 3D modeling [12–15].”
A Review on Technical and Clinical Impact of Microsoft Kinect on Physical Therapy and Rehabilitation (2014, methodology): “Chang et al. [47] used Kinect for vocational rehabilitation in preservice training to increase professional independence and accelerate community integration.”
Hand gesture recognition with depth images: A review (2012, methodology): “The remaining gesture types observed in the literature review were very application-specific, such as Wang’s [37] set of boxing moves for a video game, and Chang’s [16] set of arm movements for exercise.”
Gesture Modeling by Hanklet-Based Hidden Markov Model (2014, background): “The detection, recognition and analysis of gestures is of great interest for the computer vision community in well studied fields like surveillance [1], [2], [3], [4] and human-computer interaction [5] and in emerging fields like assistive technologies [6], computational behavioral science [7], [8] ”