Many children with cerebral palsy (CP) should do various exercises to restore motor control for specific functions such as hand grasping and gripping. During daily exercises, they need intensive support from either therapists or caregivers in setting tasks and providing feedback, which creates a heavy workload.
Thus, we introduce a two-handed ellipsoidal device to control computer games for interactive grasping and gripping rehabilitation training. The ellipsoidal device is designed to house an ESP32 microcontroller, a Wheeltec N100 IMU and an SF15 flexible thin-film pressure sensor so as to monitor children’s grip strength and wrist rotation. The sensing data can be used to control the characterizer motion in computer games. Preliminary user trials supported the implementation of such devices in hospitals for the hand grasping and gripping exercise and the cognition and coordination exercise between eyes, ears and hands.
Bingjie Xu Suzhou Industrial Park Institute of Vocational Technology, YijiaAn Xi’an Jiaotong-Liverpool University, Qinglei Bu Xi’an Jiaotong-Liverpool University, Jie Sun Xi’an Jiaotong-Liverpool University
Hannah Friederike Fischer German Research Center for Artificial Intelligence, Anke Königschulte German Research Center for Artificial Intelligence, Jana Koch C&S Computer and Software, Serge Autexier German Research Center for Artificial Intelligence, Gesche Joost German Research Center for Artificial Intelligence
Yaxuan Liu National University of Singapore (Suzhou) Research Institute, YijiaAn Xi’an Jiaotong-Liverpool University, Keming Zhang National University of Singapore (Suzhou) Research Institute, Martijn ten Bhömer Xi’an Jiaotong-Liverpool University, Qinglei Bu Xi’an Jiaotong-Liverpool University, Jie Sun Xi’an Jiaotong-Liverpool University, Siyuan Chen National University of Singapore (Suzhou) Research Institute