Stress Detection and Management

被引:45
作者
Thapliyal, Himanshu [1 ,2 ,3 ]
Khalus, Vladislav [4 ]
Labrado, Carson [4 ]
机构
[1] Qualcomm, Processor Test Solut, San Diego, CA USA
[2] Univ Kentucky, Dept Elect & Comp Engn, Lexington, KY 40506 USA
[3] IEEE, New York, NY USA
[4] Univ Kentucky, Lexington, KY 40506 USA
关键词
Stresses - Health risks - Wearable technology;
D O I
10.1109/MCE.2017.2715578
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In today's world, many people feel stressed out from school, work, or other life events. Therefore, it is important to detect stress and manage it to reduce the risk of damage to an individual's well being. With the emergence of the Internet of Things (IoT), devices can be made to detect stress and manage it effectively by using cloudbased services and smartphone apps to aggregate and compute large data sets that track stress behavior over long periods of time. Additionally, there is added convenience via the connectivity and portability of these IoT devices. They allow individuals to seek intervention prior to elevated health risks and achieve a less stressful life. © 2012 IEEE.
引用
收藏
页码:64 / 69
页数:6
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