A More Efficient Transportable and Scalable System for Real-Time Activities and Exercises Recognition

被引：17

作者：

Chapron, Kevin ^{[1
]}

Plantevin, Valere ^{[1
]}

Thullier, Florentin ^{[1
]}

Bouchard, Kevin ^{[1
]}

Duchesne, Elise ^{[1
]}

Gaboury, Sebastien ^{[1
]}

机构：

[1] Univ Quebec Chicoutimi, LIARA Lab, Chicoutimi, PQ G7H 2B1, Canada

来源：

SENSORS | 2018年 / 18卷 / 01期

基金：

加拿大自然科学与工程研究理事会;

关键词：

activity recognition; wearable; power efficiency; machine learning;

D O I：

10.3390/s18010268

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Many people in the world are affected by muscle wasting, especially the population hits by myotonic dystrophy type 1 (DM1). Those people are usually given a program of multiple physical exercises to do. While DM1 and many other people have difficulties attending commercial centers to realize their program, a solution is to develop such a program completable at home. To this end, we developed a portable system that patients could bring home. This prototype is an improved version of the previous one using Wi-Fi, as this new prototype runs on BLE technology. This new prototype conceptualized induces great results.

引用

页数：20

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