Stress detection in daily life scenarios using smart phones and wearable sensors: A survey

被引:265
作者
Can, Yekta Said [1 ]
Arnrich, Bert [2 ]
Ersoy, Cem [1 ]
机构
[1] Bogazici Univ, Comp Engn Dept, Istanbul, Turkey
[2] Univ Potsdam, Hasso Plattner Inst, Potsdam, Germany
关键词
Stress recognition; Machine learning; Wearable sensors; Smartphone; Daily life physiological data; DRIVING STRESS; RECOGNITION; SYSTEM; ENVIRONMENTS; RESPONSES; EMOTION;
D O I
10.1016/j.jbi.2019.103139
中图分类号
TP39 [计算机的应用];
学科分类号
080201 [机械制造及其自动化];
摘要
Stress has become a significant cause for many diseases in the modern society. Recently, smartphones, smartwatches and smart wrist-bands have become an integral part of our lives and have reached a widespread usage. This raised the question of whether we can detect and prevent stress with smartphones and wearable sensors. In this survey, we will examine the recent works on stress detection in daily life which are using smartphones and wearable devices. Although there are a number of works related to stress detection in controlled laboratory conditions, the number of studies examining stress detection in daily life is limited. We will divide and investigate the works according to used physiological modality and their targeted environment such as office, campus, car and unrestricted daily life conditions. We will also discuss promising techniques, alleviation methods and research challenges.
引用
收藏
页数:22
相关论文
共 118 条
[1]
Abouelenien M., 2016, P 9 ACM INT C PERVAS, P1
[2]
Aigrain J., 2016, IEEE T AFFECT COMPUT
[3]
Aigrain J, 2015, IEEE INT CONF AUTOMA
[4]
Akhonda MAS, 2014, 2014 17TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY (ICCIT), P174, DOI 10.1109/ICCITechn.2014.7073120
[5]
Keep the Stress Away with SoDA: Stress Detection and Alleviation System [J].
Akmandor A.O. ;
Jha N.K. .
IEEE Transactions on Multi-Scale Computing Systems, 2017, 3 (04) :269-282
[6]
Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review [J].
Alberdi, Ane ;
Aztiria, Asier ;
Basarab, Adrian .
JOURNAL OF BIOMEDICAL INFORMATICS, 2016, 59 :49-75
[7]
American Psychological Association, STRESS DIFF KINDS ST
[8]
[Anonymous], IEEE T AFFECTIVE COM
[9]
[Anonymous], TECHNICAL REPORT
[10]
[Anonymous], 2011, RECENT APPL BIOMETRI