Abstract
With the development of computer science and electronic industry, wearable devices become popular in daily life. It is possible to collect and analysis human's data for researching on action recognition. To solve the problem, we provide a solution to build a motion capture and analysis system. It uses smart bracelet to collect acceleration velocity and transferred by Bluetooth Low Energy with an extensible custom service protocol. Data will be gathered to a public server with REST server and protected with TLS. At last, we take an experiment on classification, which indicates its feasibility.
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