Abstract
This work investigated a new challenging problem: how to analyze human sleep comfort which is an urgent problem in intelligent home and medical supervision, especially in intelligent temperature control of air conditioners. To overcome this problem, a robust sleep posture feature descriptor named part-based feature descriptor is firstly proposed to analyze human sleep comfort not matter human body is covered by a sheet or not. Experiments on a custom-made database established by a remote infrared camera demonstrated that the proposed method has promising performance for on-line human sleep comfort analysis.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kryger and Meir, H.: Principles and practice of sleep medicine. Elsevier/Saunders (2005)
Merilahti, J., Saarinen, A., Parkka, J., Antila, K., Mattila, E., Korhonen, I.: Long-Term Subjective and Objective Sleep Analysis of Total Sleep Time and Sleep Quality in Real Life Settings. In: 29th IEEE Conference on Engineering in Medicine and Biology Society, pp.5202–5205. IEEE Press (2007)
Dafna, E., Tarasiuk, A., Zigel, Y.: Sleep-quality assessment from full night audio recordings of sleep apnea patients. In: IEEE Conference on Engineering in Medicine and Biology Society, pp. 3660–3663. IEEE Press (2012)
Zhu, X., Chen, W., Kitamura, K. I, Nemoto, T.: Estimation of Sleep Quality of Residents in Nursing Homes Using an Internet-Based Automatic Monitoring System. In: 11th IEEE Conference on Pervasive Ubiquitous Intelligence and Computing, pp. 659–665. IEEE Press (2014)
Butt, M., Moturu, S.T., Pentland, A., Khayal, I.: Automatically captured sociability and sleep quality in healthy adults. In: 35th IEEE Conference on Engineering in Medicine and Biology Society, pp. 4662–4665. IEEE Press (2013)
Pino, E.J., Dorner De la Paz, A., Aqueveque, P.: Noninvasive Monitoring Device to Evaluate Sleep Quality at Mining Facilities. Industry Applications. 51, 101–108 (2014)
Kishimoto, Y., Kutsuna, Y., Oguri, K.: Detecting Motion Artifact ECG Noise During Sleeping by Means of a Tri-axis Accelerometer. In: 29th IEEE Conference on Engineering in Medicine and Biology Society, pp. 2669–2672. IEEE Press (2007)
Gautam, A., Naik, V.S., Gupta, A., Sharma, S.K., Sriram, K.: An smart phone-based algorithm to measure and model quantity of sleep. In: 7th IEEE Conference on Communication Systems and Networks, pp. 1–6. IEEE Press (2015)
Han, H., Jo, J., Son, Y., Park, J.: Smart sleep care system for quality sleep. In: IEEE Conference on Information and Communication Technology Convergence, pp. 393–398. IEEE Press (2015)
Heinrich, A., Di Geng, Znamenskiy, D., Vink, J.P., de Haan, G.: Robust and Sensitive Video Motion Detection for Sleep Analysis. Biomedical and Health Informatics. 18, 790–798 (2014)
Kurylyak, Y., Lamonaca, F., Mirabelli, G., Boumbarov, O., Panev, S.: The infrared camera-based system to evaluate the human sleepiness. In: IEEE International Workshop on Medical Measurements and Applications, pp. 253–256. IEEE Press (2007)
Fan, C. T., Wang, Yuan-Kai, Chen, Jian-Ru: Home sleep care with video analysis and its application in smart TV. In: 3rd IEEE Global Conference on Consumer Electronics, pp. 42–43. IEEE Press (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Su, L., Xu, M., Kong, X. (2017). Infrared Video based Sleep Comfort Analysis using Part-based Features. In: Pan, JS., Tsai, PW., Huang, HC. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. Smart Innovation, Systems and Technologies, vol 64. Springer, Cham. https://doi.org/10.1007/978-3-319-50212-0_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-50212-0_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-50211-3
Online ISBN: 978-3-319-50212-0
eBook Packages: EngineeringEngineering (R0)