Automation of the Data Acquisition System for Self-Quantification Devices

Proceedings

Martín-Prieto, Rodrigo¹ 

[1] RNASA-IMEDIR Research Group, University of A Coruña, A Coruña 15001, Spain

关键词: wearables;    reverse-engineering;    Bluetooth;    Ble;    fitness;    clinical studies;   

DOI  :  10.3390/proceedings2181184

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

In this paper we describe an environment that enables the interaction and data-fetching through a computer system from the Xiaomi Mi Band 2, a very popular and inexpensive Bluetooth Low Energy Fitness device, thus making it suitable for health-care long-term projects in which continuously gathering sleep and activity data is required. The environment is composed by a communication server running a custom library, exposed through both a shell command prompt and a RESTful API so it can be used by any other system connected to this server. The library is capable of connecting to an arbitrary number of devices at a time, bypassing many restrictions of the manufacturer’s proprietary application and not depending on an outgoing network connection to synchronize data between the system and the devices. In this paper we cover not only the process to enable communication with the target device from computers but also the architectural aspects of the developed system. We also provide brief information about the prototypes developed to test the system on a real ongoing geriatric study.

【 授权许可】

CC BY