@inproceedings{scholars4081,
            year = {2014},
           pages = {1980--1983},
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
         journal = {Proceedings of IEEE Sensors},
             doi = {10.1109/ICSENS.2014.6985421},
          number = {Decemb},
          volume = {2014-D},
            note = {cited By 22; Conference of 13th IEEE SENSORS Conference, SENSORS 2014 ; Conference Date: 2 November 2014 Through 5 November 2014; Conference Code:112210},
           title = {Activity awareness can improve continuous stress detection in galvanic skin response},
          author = {Tang, T. B. and Yeo, L. W. and Lau, D. J. H.},
            issn = {19300395},
            isbn = {9781479901616},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84931046962&doi=10.1109\%2fICSENS.2014.6985421&partnerID=40&md5=a03f9a456571e60d624e8a06f2cc649e},
        keywords = {Electrophysiology; Pattern recognition; Physiological models; Sensor nodes; Stresses, Activity informations; Activity recognition; Clinical interventions; Electrical conductance; Galvanic skin response; Mental stress; Sensor systems; Wearable computing, Wearable sensors},
        abstract = {Continuous stress monitoring offers a potential to help understand different mental stress patterns and how clinical intervention could best be applied. One economical way to detect stress is to measure galvanic skin response (GSR) as the electrical conductance of skin varies with physiological arousal. In this work, we studied the effects of different activities (sit, stand and walk) on GSR measurements. We implemented a GSR sensor system and an activity recognition system. We showed that using two accelerometers (at thigh and ankle each) achieved an overall accuracy of 94.7 in activity recognition, an improvement of +27.3 from using single sensor node system. We further demonstrated that the activity information could help improve the sensitivity in stress detection at sitting and standing positions. {\^A}{\copyright} 2014 IEEE.}
}