Dual camera motion capture for serious games in stroke rehabilitation

Evett, L; Burton, Audrey; Battersby, Steven; Brown, David J.; Sherkat, Nasser; Ford, Gareth; Líu, Hao; Standen, Penny

doi:10.1109/segah.2011.6165460

Cited by 18 publications

(19 citation statements)

References 11 publications

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“…With these techniques combined, our HD system is capable of detecting human hands in a number of different scenarios such as person hand detection and tracking for Parkinson's disease diagnosis or for stroke recovery monitoring. Other potential applications could be 3D hand tracking [52] and gesture control for serious game [53], HRI and rehabilitation interactions [54] as well as individual finger processing for sign-language communication between deaf/non-deaf people [55]. …”

Section: Discussionmentioning

confidence: 99%

HD: Efficient Hand Detection and Tracking

Rouge

Shaikh

Olszewska

2016

Annals of Computer Science and Information Systems

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Abstract-Automated hand detection is useful for applications requiring reliable hand posture and hand gesture processing. Such applications include human-computer/human-robot interfaces for rehabilitation, serious games, or non-invasive medical diagnosis. Hence, in this paper, we focus on the design and development of a robust and fast hand detection and tracking (HD) system. The design of our HD system involved the study of the human skin colour and people's foreground properties, in order to merge these information for an efficient hand detection and tracking. Experiments have been carried out in real-world environment and have demonstrated the excellent performance of our HD system.

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Section: Discussionmentioning

confidence: 99%

HD: Efficient Hand Detection and Tracking

Rouge

Shaikh

Olszewska

2016

Annals of Computer Science and Information Systems

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“…The coloured markers of the developed system (coloured gloves) for detecting the position are used as a game input device, as can be seen in Figure 1. Patient recovery session consisting of movements of upper limbs using virtual games and gloves as markers to detect position [7] In his study, Evett performed motion capture using two cameras in serious games for stroke rehabilitation [8]: a RGB camera and a thermal camera to capture movement without the aid of markers ( Figure 2) for a post-stroke movement recovery system. The use of the devices without markers allows the patient to perform movements freely without the impediment of equipment connected to the body, which can cause discomfort, hygiene restrictions, and difficulties related to the movement.…”

Section: Frameworkmentioning

confidence: 99%

“…The use of the devices without markers allows the patient to perform movements freely without the impediment of equipment connected to the body, which can cause discomfort, hygiene restrictions, and difficulties related to the movement. [8] The optical sensors used by Schönauer [5] in a study on rehabilitation from chronic pain by means of a serious game using Multimodal entrance are composed of passive markers placed on the human body and responding to infrared transmitters that broadcast to the team. To detect the movement of a human being, such a device is positioned on different parts of the body in the frontal position.…”

Section: Frameworkmentioning

confidence: 99%

Ergonomics and Usability in the Development of a Portable Virtual Gaming Device Applied in Physiotherapy

et al. 2016

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SummaryThe field of Physical Medicine and Motor Rehabilitation (PMMR) is a medical specialty that deals with the diagnosis and treatment of different pathologies that affect the human body mobility. This process is characterized by the repetition of movements becoming dull and off-putting for patients under treatment. Over the past few years, new strategies have been introduced, including virtual games, aiming at making this process more fun and motivating.This paper presents the development of a mobile device for using virtual games that support the PMMR professional. It will be used both in the clinical setting as well as at home taking ergonomic and usability issues into account. We intend to offer professionals and their patients a chance to take advantage of the motivational potential of virtual interactive gaming enabling patients to undertake physiotherapy sessions in a more simple and convenient way.

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“…In another work using a dual camera markerless motion capture system, Evett et al developed a platform for stroke rehabilitation [ 18 ]. Their system leveraged a webcam and a thermal camera to recognize hand gestures.…”

Section: Rehabilitation Systems Before the Advent Of Kinectmentioning

confidence: 99%

A Review on Technical and Clinical Impact of Microsoft Kinect on Physical Therapy and Rehabilitation

Hondori

Khademi

2014

Journal of Medical Engineering

238

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This paper reviews technical and clinical impact of the Microsoft Kinect in physical therapy and rehabilitation. It covers the studies on patients with neurological disorders including stroke, Parkinson's, cerebral palsy, and MS as well as the elderly patients. Search results in Pubmed and Google scholar reveal increasing interest in using Kinect in medical application. Relevant papers are reviewed and divided into three groups: (1) papers which evaluated Kinect's accuracy and reliability, (2) papers which used Kinect for a rehabilitation system and provided clinical evaluation involving patients, and (3) papers which proposed a Kinect-based system for rehabilitation but fell short of providing clinical validation. At last, to serve as technical comparison to help future rehabilitation design other sensors similar to Kinect are reviewed.

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Dual camera motion capture for serious games in stroke rehabilitation

Cited by 18 publications

References 11 publications

HD: Efficient Hand Detection and Tracking

HD: Efficient Hand Detection and Tracking

Ergonomics and Usability in the Development of a Portable Virtual Gaming Device Applied in Physiotherapy

A Review on Technical and Clinical Impact of Microsoft Kinect on Physical Therapy and Rehabilitation

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