Dr Anusha Withana.
The bracelet and program have been developed by a team of engineers in the University of Sydney’s School of Computer Science, led by undergraduate honours student Mr Stephen Lin under the supervision of Dr Anusha Withana.
“We have 3D printed a sensor bracelet that can be easily customised for individual users. It accurately detects subtle finger movements through vibrations in the carpal tunnel – an area of the wrist that contains the tendons which control the hand,” said Dr Withana.
“These subtle movements are then transmitted from the sensors to a program using Bluetooth, which interprets an individual’s movement patterns using machine learning. It then communicates this with the game. It does so almost instantaneously, allowing the user to play games that would otherwise require the use of a handheld controller.”
Mr Stephen Lin said: “We use machine learning to interpret an individual’s movements, which vary from user to user. Currently, these signals are transmitted to a computer-based program, but we hope to progress this to a free phone app so it can be easily downloadable.”