References
- 정부연, "웨어러블 디바이스 시장 현황과 전망", 정보통신방송정책 제30권 20호 통권 680호 2018년
- "고(高)성장 '스마트 워치', 기기 활용도 높아지며 기대감 확산", ICT Brief, 정보통신기획평가원, 2019-06호 p.7 2019년
- https://en.wikipedia.org/wiki/Accelerometer, 2019. 3. 12
- https://en.wikipedia.org/wiki/Gyroscope, 2019. 3. 12
- 테크앤비욘드 편집부, "[스마트 워치/기술] 마음대로 바꾸면서 가볍고 똑똑하게", 머니투데이 2014. http://news.mt. co.kr/mtview.php?no=2014071709307198258, 2019. 3. 12
- https://www.empatica.com/en-int/research/science/, 2019. 3. 14
- 블로터, "애플워치4 심전도 기능 탑재... 헬스케어 업체로 진화하는 애플", https://www.bloter.net/archives/319452, 2019. 3. 14
- https://valencell.com/press/2016/12/valencell-showcase-accuracy-innovation-biometric-wearables-hearablesces-2017/, 2019. 3.14
- Kiaghadi, A., Baima, M., Gummeson, J., Andrew, T., & Ganesan, D, "Fabric as a Sensor: Towards Unobtrusive Sensing of Human Behavior with Triboelectric Textiles", In Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, ACM, pp. 199-210, 2018.
- Google, https://atap.google.com/jacquard/, 2019.03.11
- Liu, C., Zhang, L., Liu, Z., Liu, K., Li, X., & Liu, Y, "Lasagna: towards deep hierarchical understanding and searching over mobile sensing data", In Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking, ACM, pp. 334-347, 2016.
- Chen, L., Hoey, J., Nugent, C. D., Cook, D. J., & Yu, Z, "Sensor-based activity recognition", IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), Vol. 42(6), pp.790-808, 2012. https://doi.org/10.1109/TSMCC.2012.2198883
- 전기만, 김현우, "멀티센서 기반의 개인형 라이프로그 서비스 시스템 구현에 관한 연구", 대한전자공학회 학술대회, 767 권, 768호, 2017년
- Ballinger, B., Hsieh, J., Singh, A., Sohoni, N., Wang, J., Tison, G. H., ... & Pletcher, M. J., "DeepHeart: semi-supervised sequence learning for cardiovascular risk prediction", In Thirty-Second AAAI Conference on Artificial Intelligence. 2018.
- Lichstein, K. L., Stone, K. C., Donaldson, J., Nau, S. D., Soeffing, J. P., Murray, D., ... & Aguillard, R. N, "Actigraphy validation with insomnia. Sleep", Vol. 29(2), pp.232-239, 2006.
- Girschik, J., Fritschi, L., Heyworth, J., & Waters, F, "Validation of self-reported sleep against actigraphy", Journal of epidemiology, Vol. 22(5), pp.462-468, 2012. https://doi.org/10.2188/jea.JE20120012
- Sathyanarayana, A., Joty, S., Fernandez-Luque, L., Ofli, F., Srivastava, J., Elmagarmid, A. & Taheri, S, "Sleep quality prediction from wearable data using deep learning", JMIR mHealth and uHealth, Vol. 4(4), 2016.
- Min, J. K., Doryab, A., Wiese, J., Amini, S., Zimmerman, J., & Hong, J. I, "Toss'n'turn: smartphone as sleep and sleep quality detector". In Proceedings of the SIGCHI conference on human factors in computing systems, ACM, pp. 477-486, 2014.
- 박성수, & 이건창, "심박변이도 기반 감정예측 인공신경망을 이용한 감정예측 추론과정 메커니즘에 관한 연구", 한국컴퓨터정보학회논문지, Vol. 22(7), pp.75-82, 2017. https://doi.org/10.9708/JKSCI.2017.22.05.075
- Shin, W., Huh, B., & Park, M, "Development of Emotion Recovery System for Preventing Cumulative Psychological Stress of Emotional Workers", 대한인간공학회 학술대회논문집, pp. 17-22, 2017.
- Sadeh, A, "The role and validity of actigraphy in sleep medicine: an update", Sleep medicine reviews, Vol. 15(4), pp.259-267, 2011. https://doi.org/10.1016/j.smrv.2010.10.001
- Koelstra, S., Muhl, C., Soleymani, M., Lee, J. S., Yazdani, A., Ebrahimi, T., & Patras, I, "Deap: A database for emotion analysis; using physiological signals". IEEE transactions on affective computing, Vol. 3(1), pp. 18-31, 2012. https://doi.org/10.1109/T-AFFC.2011.15
- Ringeval, F., Sonderegger, A., Sauer, J., & Lalanne, D, "Introducing the RECOLA multimodal corpus of remote collaborative and affective interactions", In 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), IEEE, pp. 1-8, 2103
- Can, Y. S., Arnrich, B., & Ersoy, C. "Stress Detection in Daily Life Scenarios Using Smart Phones and Wearable Sensors: A Survey", Journal of biomedical informatics, 103139, 2019.
- Rohani, D. A., Faurholt-Jepsen, M., Kessing, L. V., & Bardram, J. E, "Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review", JMIR mHealth and uHealth, Vol. 6(8), 2018.