Serious games: Rehabilitation fuzzy grammar for exercise and therapy compliance

Fernandez-Cervantes, Victor; Stroulia, Eleni; Oliva, Luis; González, Francisco; Castillo, Claudio

doi:10.1109/gem.2015.7377229

Cited by 6 publications

(9 citation statements)

References 13 publications

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“…A fuzzy logic adaptation engine was used and evaluated while coping with different levels of exercise. A physical therapy rehabilitation serious game was developed by [17] and is a 2D game based on the Kinect tracking skeleton in which the authors used a fuzzy logic method to analyse the sequence of player's postures which could be compared against a specification of the prescribed exercise. A self-adaptive home based rehabilitation game has also been developed by [18], who present a 2D game where gameplay is continuously monitored using a fuzzy system.…”

Section: Background and Related Workmentioning

confidence: 99%

“…The intelligent fuzzy logic inference system proposes an exercise that is more appropriate for the player based on his/her performance with out any further harm. The normality factor of the training is adopted on input parameters that provides a quantified value that describes how well a patient performed in a particular task [17] and [19]. Input quantities are standardised and transferred for fuzzification through fuzzy sets, a set of predefined rules are applied to fuzzy sets through the fuzzy inference that moves them through defuzzification and denormalization step to the crisp output µ.…”

Section: Fuzzy Logic Controller In the Rehabgamementioning

confidence: 99%

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An adaptive self-organizing fuzzy logic controller in a serious game for motor impairment rehabilitation

Esfahlani¹,

Cirstea²,

Sanaei³

et al. 2017

2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)

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Rehabiliation robotics combined with video game technology provides a means of assisting in the rehabilitation of patients with neuromuscular disorders by performing various facilitation movements. The current work presents ReHabGame, a serious game using a fusion of implemented technologies that can be easily used by patients and therapists to assess and enhance sensorimotor performance and also increase the activities in the daily lives of patients. The game allows a player to control avatar movements through a Kinect Xbox, Myo armband and rudder foot pedal, and involves a series of reach-grasp-collect tasks whose difficulty levels are learnt by a fuzzy interface. The orientation, angular velocity, head and spine tilts and other data generated by the player are monitored and saved, whilst the task completion is calculated by solving an inverse kinematics algorithm which orientates the upper limb joints of the avatar. The different values in upper body quantities of movement provide fuzzy input from which crisp output is determined and used to generate an appropriate subsequent rehabilitation game level. The system can thus provide personalised, autonomously-learnt rehabilitation programmes for patients with neuromuscular disorders with superior predictions to guide the development of improved clinical protocols compared to traditional theraputic activities.

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Section: Background and Related Workmentioning

confidence: 99%

Section: Fuzzy Logic Controller In the Rehabgamementioning

confidence: 99%

An adaptive self-organizing fuzzy logic controller in a serious game for motor impairment rehabilitation

Esfahlani¹,

Cirstea²,

Sanaei³

et al. 2017

2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)

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“…The gameplay allows the patient to focus on playing, while achieving the goals in the rehabilitation exercises. In our own previous work [8], we focused on a more realistic mechanism for providing high-quality feedback in rehabilitation serious games. To that end, we developed a fuzzy grammar for evaluating the correctness of postures and movements.…”

Section: Related Research and Backgroundmentioning

confidence: 99%

“…The latter, in particular, represents an extremely attractive platform for exergames [9] since it enables adequate skeleton tracking, and its SDK and user community offer substantial software-development support. Recognizing this opportunity, a variety of exergames have been developed that cover a broad design spectrum: on one hand, one can find complex systems with no evident gameplay [6]; on the other hand, some games [7,8] offer engaging gameplay but with restricted and limited movements, and, therefore, limited potential for physical conditioning.…”

Section: Introductionmentioning

confidence: 99%

“…This editor, in effect, enables users to annotate a pre-recorded demonstration of the exercise with rules about the angles of the important joints in each step of the exercise. The resulting exercise script, represented in terms of the underlying AGAS grammar, an extension of the grammar reported in [8], is then used by the Unity game engine to (a) animate a coach avatar that demonstrates the exercise at run-time during gameplay, and (b) provide timely and accurate feedback to the player about his/her posture and movement.…”

Section: Introductionmentioning

confidence: 99%

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A Grammar-Based Framework for Rehabilitation Exergames

Fernandez-Cervantes

Stroulia

Hunter

2016

Entertainment Computing - ICEC 2016

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Numerous serious exergames advocate the use of engaging avatars to motivate a consistent exercise regimen. However, the process of specifying the prescribed exercise, implementing it as avatar animation, and developing an accurate feedback-providing mechanism is complex and requires a high level of expertise in game engines, control languages, and hardware devices. Furthermore, in the context of rehabilitation exergames, the requirements for accurate assessment and timely and precise feedback can be quite stringent. At the same time, the Kinect T M motioncapture sensor offers a natural interface to game consoles, and its affordability and wide availability represents a huge opportunity for at-home exergames. In this paper, we describe our work towards a system that envisions to simplify the process of developing rehabilitation exergames with Kinect T M. The system relies on a language for specifying postures and movements between them, and includes an editor that enables rehabilitation therapists to specify the prescribed exercise, by editing a demonstration of the exercise. This exercise-specification grammar is used to drive the animation of an avatar and the provision of quality feedback, by comparing the player's postures (as captured by the Kinect T M) against those of the coaching avatar and the grammar.

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