Abstract
This article focuses on an analysis of the needs of Hearing Impaired People and on the development of a recognition of environmental sounds system in a typical home. Based on the extraction of acoustic characteristics (Mel Frequency Cepstral Coefficients, Zero Crossing Rate, Roll Off Point and Spectral Centroid) and their combination with data from presence sensors, an accuracy rate of 88.4% was obtained.
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
Cowling, M.: Non-Speech Environmental Sound Classification System for Autonomous Surveillance. Phd Thesis. Griffith University (2004)
Lozano, H., Hernáez, I., Picón, A., Camarena, J., Navas, E.: Audio Classification Techniques in Home Environments for Elderly/Dependant People. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds.) ICCHP 2010, Part 1. LNCS, vol. 6179, pp. 320–323. Springer, Heidelberg (2010)
Lozano, H., Hernáez, I., Navas, E., et al.: “Non-Speech” Sounds Classification for People with Hearing Disabilities. In: AAATE, pp. 276–280 (2007)
Ma, L., Smith, D.J., Milner, B.P.: Context Awareness using Environmental Noise Classification. In: Proceedings of Eurospeech, pp. 2237–2240 (2003)
Amato, G., Broxval, M., Chessa, S., et al.: Robotic UBIquitous Cognitive Network. In: 3rd International Symposium on Ambient Intelligence (ISAmI), Spain (2012)
Vacher, M., Istrate, D., Serignat, J.: Sound Detection and Classification Through Transient Models using Wavelet Coefficient Trees. In: EUSIPCO (2004)
Vacher, M., Istrate, D., Besacier, L., Serignat, J.F.: Life Sounds Extraction and Classification in Noisy Environment. In: IASTED’SIP, Honolulu, Hawaii, USA (2003)
Atrey, K., Maddage, C., Kankanhalli, S.: Audio Based Event Detection for Multimedia Surveillance. In: IEEE International Conference on ICCASP, pp. 813–816 (2006)
Temko, A.: Acoustic Event Detection and Classification. Phd Thesis. Universitat Politècnica de Catalunya (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lozano, H., Hernáez, I., Camarena, J., Díez, I., Navas, E. (2012). Identification of Sounds and Sensing Technology for Home-Care Applications. In: Bravo, J., Hervás, R., Rodríguez, M. (eds) Ambient Assisted Living and Home Care. IWAAL 2012. Lecture Notes in Computer Science, vol 7657. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35395-6_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-35395-6_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35394-9
Online ISBN: 978-3-642-35395-6
eBook Packages: Computer ScienceComputer Science (R0)