Jintong Zhu

Wrist Analytics is a hand-wearable device that uses multiple sensor technologies to record and communicate biometric data about wrist positioning. It creates an intelligent and flexible platform for users to interact with their hand movement data through a mobile application. 

Wrist Analytics started by asking several research questions like: “How can technology help us understand things differently?” “What if a glove can translate information through our hands?” “What if I can learn skills like playing the piano from my hand-wearables?” I tried to pursue this project as an answer to these questions and as a result, I designed Wrist Analytics to help shape a better understanding of the movements required to skillfully perform physical actions. Wrist Analytics allows us to realise things we don’t know about ourselves, and make corrections to have a happier and healthier life. 

Wrist Analytics can be used in various scenarios; one of the representatives and case studies in this project is piano playing. Physical skills training and remote learning processes require understanding of wrist motion. The sensing system enables Wrist Analytics to receive wrist elevation, positioning and relaxation data, process from hardware to software and connect novice to professional. 

We most commonly gain knowledge by hearing, seeing and touching. Wrist Analytics helps to better answer the question “How can technology help us process this knowledge differently?”. More than just a sensing system, Wrist Analytics is a platform built to address new ways of interaction through data processing, and to explore new ways of defining the transfer of information in daily life.