A low-cost game framework for a home-based stroke rehabilitation system

Saini, Sanjay; Zakaria, Mohamed; Shukri, Siti Rohkmah Mohd

doi:10.1109/iccisci.2012.6297212

Cited by 84 publications

(56 citation statements)

References 20 publications

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“…In a similar research work, Saini et al aimed at increasing patients' motivation for therapy using a Kinect-based game for stroke rehabilitation. 106 They studied the feasibility and e®ect of new game technology to improve the accuracy of stroke exercises for hand and leg rehabilitation. Gotsis et al demonstrated a mixed reality game for upper body exercise and rehabilitation using Kinect.…”

Section: Physical Therapy and Rehabilitationmentioning

confidence: 99%

A Survey of Applications and Human Motion Recognition with Microsoft Kinect

Lun

Zhao

2015

Int. J. Patt. Recogn. Artif. Intell.

281

109

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Microsoft Kinect, a low-cost motion sensing device, enables users to interact with computers or game consoles naturally through gestures and spoken commands without any other peripheral equipment. As such, it has commanded intense interests in research and development on the Kinect technology. In this paper, we present, a comprehensive survey on Kinect applications, and the latest research and development on motion recognition using data captured by the Kinect sensor. On the applications front, we review the applications of the Kinect technology in a variety of areas, including healthcare, education and performing arts, robotics, sign language recognition, retail services, workplace safety training, as well as 3D reconstructions. On the technology front, we provide an overview of the main features of both versions of the Kinect sensor together with the depth sensing technologies used, and review literatures on human motion recognition techniques used in Kinect applications. We provide a classi¯cation of motion recognition techniques to highlight the di®erent approaches used in human motion recognition. Furthermore, we compile a list of publicly available Kinect datasets. These datasets are valuable resources for researchers to investigate better methods for human motion recognition and lowerlevel computer vision tasks such as segmentation, object detection and human pose estimation.

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Section: Physical Therapy and Rehabilitationmentioning

confidence: 99%

A Survey of Applications and Human Motion Recognition with Microsoft Kinect

Lun

Zhao

2015

Int. J. Patt. Recogn. Artif. Intell.

281

109

View full text Add to dashboard Cite

show abstract

“…In it, the users are asked to reach for and to catch a virtual ball by controlling an avatar. Reference [13] also presents two approaches regarding stroke rehabilitation, but using both hands and feet. In one game, the user has to control an avatar in order to climb a hill, and on the other, control an avatar to run.…”

Section: Kinect For Xboxmentioning

confidence: 99%

Development of a Kinect Rehabilitation System

et al. 2013

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Abstract-Microsoft Kinect camera has been used in serious games applications, like for rehabilitation purposes, almost since it became available in the market. This article presents a clinical view regarding home-based physiotherapy for patients that suffered a stroke and details on the development of the rehabilitation system -KinectRehabPlay. This system uses the Kinect sensor together with the Unity3D game engine software to create the animation and visual environment. Currently, it is able to track, recording and comparing movements (doctor versus patient), and adjust the game configuration in real-time.

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“…Therapeutic games have recently received a lot of attention, and have been created for people with cerebral palsy [21,40], multiple sclerosis [20], paralysis [34], and who have had a stroke [5,24,32,37]. Findings from research into the participatory design of games for individuals with visual impairment [38] and young people using wheelchairs [19] makes clear that there are no one-size-fits-all solutions for populations that have a wide range of physical capabilities.…”

Section: Therapeutic Gamesmentioning

confidence: 99%

Designing Game-Based Myoelectric Prosthesis Training

Tabor

Bateman

Scheme

et al. 2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

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A myoelectric prosthesis (myo) is a dexterous artificial limb controlled by muscle contractions. Learning to use a myo can be challenging, so extensive training is often required to use a myo prosthesis effectively. Signal visualizations and simple muscle-controlled games are currently used to help patients train their muscles, but are boring and frustrating. Furthermore, current training systems require expensive medical equipment and clinician oversight, restricting training to infrequent clinical visits. To address these limitations, we developed a new game that promotes fun and success, and shows the viability of a low-cost myoelectric input device. We adapted a user-centered design (UCD) process to receive feedback from patients, clinicians, and family members as we iteratively addressed challenges to improve our game. Through this work, we introduce a free and open myo training game, provide new information about the design of myo training games, and reflect on an adapted UCD process for the practical iterative development of therapeutic games.

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A low-cost game framework for a home-based stroke rehabilitation system

Cited by 84 publications

References 20 publications

A Survey of Applications and Human Motion Recognition with Microsoft Kinect

A Survey of Applications and Human Motion Recognition with Microsoft Kinect

Development of a Kinect Rehabilitation System

Designing Game-Based Myoelectric Prosthesis Training

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