Co-Jump is a concept robotic rehabilitation gloves that turn into adaptive, compliant, and safe gloves equipped with EMG sensors as well as AI vision-assisted rehabilitation. As gloves, of course, they are meant to help patients to recover their finger functions. This medical equipment is suitable to regain hand functions after nerve injuries such as stroke, surgery, or hemiplegia. This type of equipment can be shared with other patients for offline rehabilitation process where they can exercise at home in their daily life.
Current rehabilitation gloves on the market are heavy and not portable, the driver might cause too much pressure on patient’s joints or its grip force is too strong and might cause secondary injuries. Co-Jump promises soft robotics technology that uses 3D printed mechanism to make it more ergonomic. Any medical resources can be shared with offline rehabilitation clinics, any records can be kept on the cloud and then shared with other rehabilitation practitioners when needed.
The design of Co-Jump Soft Robotic Gloves was inspired by structural properties of corrugated pipes. The bottom area contracts, flexes, and extends when exposed to any external force. It’s the same characteristic to human fingers. When your fingers are bent, that skin surface will elongate, when the fingers are straightened, the skin surface will shrink. This idea has become the base of 3D printed design, providing soft rehabilitation gloves that drive your finger movements without possible second injury. The glove size can be customized to meet patient’s finger size.
Designers: Li Yuanjing, Zhan Jing, Guan Shunzi, Yu Tianlin, Junkai Li, Qian Qingyun, Yi Wei