Sadeghi-Esfahlani_et_al_2017.pdf (3 MB)
An adaptive self-organizing fuzzy logic controller in a serious game for motor impairment rehabilitation
conference contribution
posted on 2023-08-30, 14:43 authored by Shabnam Sadeghi Esfahlani, Silvia Cirstea, Alireza Sanaei, George WilsonRehabiliation 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.
History
ISSN
2163-5145External DOI
Publisher
IEEEPlace of publication
OnlineISBN
978-1-5090-1412-5Conference proceeding
2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)Name of event
2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)Location
Edinburgh, UKEvent start date
2017-06-19Event finish date
2017-06-21File version
- Accepted version
Language
- eng
Official URL
Legacy posted date
2017-06-05Legacy creation date
2017-05-17Legacy Faculty/School/Department
ARCHIVED Faculty of Science & Technology (until September 2018)Note
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Usage metrics
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