TY - JOUR
T1 - Assistive game controller for artificial intelligence-enhanced telerehabilitation post-stroke
AU - Burdea, Grigore
AU - Kim, Nam
AU - Polistico, Kevin
AU - Kadaru, Ashwin
AU - Grampurohit, Namrata
AU - Roll, Doru
AU - Damiani, Frank
N1 - Funding Information:
This study was funded by the National Institutes of Health grants [R43AG052290] and [R44AG044639]. The authors would like to thank the participating healthy volunteers for taking part in the usability data collection and Team Design Group for manufacturing of the prototypes used in this study and contributing to subsequent design improvements.
Publisher Copyright:
© 2019 Bright Cloud International Corp.
PY - 2021
Y1 - 2021
N2 - Off-the-shelf gaming technology is designed for young, fit, and motor intact individuals. Artificial intelligence (AI) has a role in making controllers and therapeutic games adaptable to the disabled. Post-stroke rehabilitation outcomes can be enhanced by gaming technology within the home to enable engaging telerehabilitation. BrightBrainer™ Grasp (BBG) is a novel therapeutic game controller designed to adapt to arm and hand impairments post-stroke. It mediates intensive arm reach, grasp and finger extension training and has the ability to track relevant outcomes. The newly designed controller uses BrightBrainer gamification system with AI technology to provide automatic adaptation, requiring minimal clinician input. This article describes the BBG design, hardware, force and movement detection and calibration, and its integration with the therapeutic games. The use of AI in adapting a library of custom therapeutic games is also described. Results of a usability study with healthy individuals and related design modifications are presented, with implications for future trials.
AB - Off-the-shelf gaming technology is designed for young, fit, and motor intact individuals. Artificial intelligence (AI) has a role in making controllers and therapeutic games adaptable to the disabled. Post-stroke rehabilitation outcomes can be enhanced by gaming technology within the home to enable engaging telerehabilitation. BrightBrainer™ Grasp (BBG) is a novel therapeutic game controller designed to adapt to arm and hand impairments post-stroke. It mediates intensive arm reach, grasp and finger extension training and has the ability to track relevant outcomes. The newly designed controller uses BrightBrainer gamification system with AI technology to provide automatic adaptation, requiring minimal clinician input. This article describes the BBG design, hardware, force and movement detection and calibration, and its integration with the therapeutic games. The use of AI in adapting a library of custom therapeutic games is also described. Results of a usability study with healthy individuals and related design modifications are presented, with implications for future trials.
KW - BrightBrainer
KW - BrightBrainer Grasp
KW - artificial intelligence
KW - stroke
KW - telerehabilitation
KW - therapeutic games
KW - usability evaluation
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U2 - 10.1080/10400435.2019.1593260
DO - 10.1080/10400435.2019.1593260
M3 - Article
C2 - 31180276
AN - SCOPUS:85067548089
SN - 1040-0435
VL - 33
SP - 117
EP - 128
JO - Assistive Technology
JF - Assistive Technology
IS - 3
ER -