Guidance and Movement Correction Based on Therapeutics Movements for Motor Rehabilitation Support Systems

Gama, Alana Elza Fontes da; Chaves, Thiago; Figueiredo, Lucas; Teichrieb, Verônica

doi:10.1109/svr.2012.15

Cited by 62 publications

(37 citation statements)

References 15 publications

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“…Custom motion-based games showed promise in motivating stroke survivors to perform the necessary numbers of therapeutic exercise repetitions (Alankus, Lazar, May, & Kelleher, 2010;Burke et al, 2009;Jack et al, 2001;Yeh et al, 2005). Researchers explored using various affordable input devices to enable a home-based therapeutic game system (Da Gama, Chaves, Figueiredo, & Teichrieb, 2012;Gerling, Livingston, Nacke, & Mandryk, 2012;Pastor, Hayes, & Bamberg, 2012;Pirovano, Mainetti, BaudBovy, Lanzi, & Borghese, 2012). Recently, the long-term home-use of a therapeutic game system emphasized that the quality of therapeutic exercises tends to be overlooked, and therapeutic games should motivate patients to perform the exercise motions correctly (Alankus, Proffitt, Kelleher, & Engsberg, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…Automated real-time auditory feedback for compensation (Thielman, 2010) was considered as a safer alternative. In the context of motion-based therapeutic games, addressing compensation has been limited to detecting compensation (Taati, Wang, Huq, Snoek, & Mihailidis, 2012), and preventing users from succeeding with it (Da Gama et al, 2012), rather than actively encouraging users to reduce compensation. Therefore, current efforts for addressing compensation in unsupervised therapeutic exercises may not reduce compensation as well as therapist supervision.…”

Section: Introductionmentioning

confidence: 99%

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Reducing Compensatory Motions in Motion-Based Video Games for Stroke Rehabilitation

Alankuş

Kelleher

2014

Human–Computer Interaction

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Stroke survivors' unsupervised therapeutic exercise motions are often accompanied by harmful compensatory motions that prevent proper motor recovery and introduce additional health issues. These compensatory motions are often performed unconsciously and are difficult to prevent. Motion-based games show promise for motivating patients to perform stroke rehabilitation exercises at home by themselves. Currently, exercises with these games are likely to contain undesired compensatory motions. In this article, we provide the design and empirical evaluation of a motion-based game system that addresses the issue of compensation in therapeutic games. We introduce a technique to identify and measure compensation, develop a game that meaningfully uses exercise and compensation as inputs, and use incentives and disincentives to reduce compensation. We show that this technique outperforms existing approaches by significantly reducing compensatory motions during therapeutic exercise. This has important implications for therapeutic games, which can use our findings to improve the quality of motions to be closer to therapist-supervised motions. Our techniques can increase the effectiveness of therapeutic games and reduce the possibility that they may cause harm in long-term use.Gazihan Alankus (gazihan.alankus@ieu.edu.tr, http://homes.ieu.edu.tr/∼galankus) is a computer scientist with an interest in human-computer interaction and using games for therapeutic purposes; he is an Assistant Professor in the

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reducing Compensatory Motions in Motion-Based Video Games for Stroke Rehabilitation

Alankuş

Kelleher

2014

Human–Computer Interaction

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“…The markerless tracking feature of Kinect enables a natural user interaction for rehabilitation applications, which alleviates existing issues for patients having difficulty to hold any sensor or marker. Using Kinect, various researches are being explored for the development of assistive systems that help interact with patients during their rehabilitation exercises [31][32][33][34].…”

Section: Rehabilitation Exercisesmentioning

confidence: 99%

Innovative Technologies for Medical Education

Fallavollita¹

2017

Human Anatomy - Reviews and Medical Advances

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This chapter aims to assess the current practices of anatomy education technology and provides future directions for medical education. It begins by presenting a historical synopsis of the current paradigms for anatomy learning followed by listing their limitations. Then, it focuses on several innovative educational technologies, which have been introduced over the past years to enhance the learning. These include E-learning, mobile apps, and mixed reality. The chapter concludes by highlighting future directions and addressing the barriers to fully integrating the technologies in the medical curriculum. As new technologies continue to arise, this process-oriented understanding and outcome-based expectations of educational technology should be embraced. With this view, educational technology should be valued in terms of how well the technological process informs and facilitates learning, and the acquisition and maintenance of clinical expertise.

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“…A large number of applications based on such sensors are addressing some of the difficulties in unsupervised rehabilitation [25] [26]. For instance, Gama et al [27] proposed a Kinect based rehabilitation system that tracks user position. The user sees himself on the screen with overlaying targets representing the desired position.…”

Section: Biomedical Signal Analysis and Human State Estimationmentioning

confidence: 99%

Robotics Enabled Augmented Health

Arsénio¹

2015

European Project Space on Intelligent Systems, Pattern Recognition and Biomedical Systems

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Nowadays it is increasingly important, for social and economic reasons, to provide augmented health assistance for people at home. This will mostly benefit some specific user groups, such as elderly, patients recovering from physical injury, or athletes. This chapter describes the application of robotics, under the scope of the Augmented Human Assistance (AHA) project, for assisting people health. Two complementary and interacting approaches are described. The first consists on a mobile robot nurse, that assists patients and elderly on their daily lives, such as for advising on medicine intake, or providing complementary biomedical sensing equipment for health monitoring. The other approach consists of multimodal feedback assistance through augmented reality, haptic sensing and audio, in order to guide and assist people on the execution of exercises at home.

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Guidance and Movement Correction Based on Therapeutics Movements for Motor Rehabilitation Support Systems

Cited by 62 publications

References 15 publications

Reducing Compensatory Motions in Motion-Based Video Games for Stroke Rehabilitation

Reducing Compensatory Motions in Motion-Based Video Games for Stroke Rehabilitation

Innovative Technologies for Medical Education

Robotics Enabled Augmented Health

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