Recently, technological differentiation(sensor, AI) of products using IoT technology to satisfy consumer needs in the mature market for smart home appliances has received a lot of positive responses. However, air conditioner products are in the early stages of convergence technology. Therefore, air conditioner products are fields that require ICT technologies for information production, collection, processing, storage, and service development beyond IoT. In this paper, we collect and store contactless bio-signal using IR-UWB radar technology. The blowing direction of the air conditioning is controlled according to bio-signal and user's sleep is monitored to provide an optimal sleep environment. In addition, we propose a service algorithm that can provide comfort with changes in the optimal conditions of air conditioning and emotional lighting depending on the discomfort index environment. Through this study, we developed an intelligent smart air conditioning service platform with ICT technology of bio-signal, discomfort index, and emotional lighting.
J.H.Ryu, “Industry status and prospect – Home Appliance Industry : Forcusing on White Goods,” KEA, 2017. http://www.gokea.org.
J.H.Choi, J.W.Choi & Y.I.Yoon, “IoT Platform Technology Review,” Korea Information Processing Society, Vol.23, No.3, pp.19-24, 2016.
L.Min, G.Wenbin, C.Wei, H.Yeshen, W.Yannian, Z. Yiying, et al, “Smart Home: Architecture, Technologies, and Systems,” Procedia Computer Science, Vol.131, pp.393-400, 2018.
J.H.Hong, & K.H.Lee, “A Scheme on Object Tracking Techniques in Multiple CCTV IoT Enviroments,”Journal of The Korea Internet of Things Society, Vol.5, No.1, pp.7-11, 2019.
T.K.Kim, “IoT-based Indoor Localization Scheme,”Journal of The Korea Internet of Things Society, Vol.2, No.4, pp.35-39, 2016.
S.S.Byun, “A Non-contact Realtime Heart Rate Estimation Using IR-UWB Radar,” Journal of Embedded Systems and Applications, Vol.14, No.3, pp.123-131, 2019.
A.Q.Javaid, C.M.Noble, R.Rosenberg, &M.A.Weitnauer, “Towards Sleep Apnea Screening with an Under-the-mattress IR-UWB Radar Using Machine Learning,” Proceedings of IEEE International Conference on Machine Learning and Applications, pp.837-842, 2015.
Y.J.Park, H.S.Cho, & H.K.Lyu, “A method of detection of respiration rate on Android using UWB Impulse Radar,” ICT Express, Vol.2, No.4, pp.145-149, 2016.
K.W.Choi, C.S.Kim, C.S.Yang, & J.G.Lee, “A study on a target-tracking and noncontact type biosignal measurement system Using IR-Radar and Pan-Tilt system,” The Journal of the Korean Institute of Information and Communication Engineering, Vol.18, No.9, pp.2237-2242, 2014.
J.W.Choi, Y.N.Lee, S.H.Cho, & Y.H.Lim, “Sleep Efficiency Measurement Algorithm Using an IR UWB Radar Sensor," The Korean Institute of Communications and Information Sciences, Vol.42, No.1, pp.214-217, 2017.
J.C.Lee, “Design of Smart Pillow System for Managing Sleep Apnea,” Journal of the Korea Convergence Society, Vol.11, No.1, pp.33-39, 2020.
D.W.Lee, S.I.Park, & M.C.Whang, “Emotion Recognition Method Using Heart-Respiration Connectivity,” Korean Society for Emotion and Sensibility, Vol.20, No.3, pp.61-70, 2017.
Y.J.An, D.H.Kim, J.H.Lee, & B.J.Lee, “Indoor Environment Control System Utilizing The Internet of Things,” Journal of the Korea Institute of Electronic Communication Sciences, Vol.12, No.4, pp.645-650, 2017.
D.H.Ryu, & T.W.Choi, “Development of Open IoT platform based on Open Source Hardware & Cloud Service,” Journal of the Korea Institute of Electronic Communication Sciences, Vol.11, No.5, pp.1065-1070, 2016.
E.C.Thom, “The Discomfort Index,” Weatherwise, Vol.12, No.2, pp.57-61, 1959.
Wikipedia. Respiratory rate. https://ko.wikipedia.org