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Signals and Telecommunications Journal

An Elderly - Care System Based on Sound Analysis

Martin FreÃ…Â¡er, Igor KoÃ…Â¡ir, Violeta Mirchevska, Mitja LuÃ…Â¡trek
Department of Intelligent Systems, Jozef Stefan Institute, Slovenia & Smart Com d.o.o., Slovenia

Abstract: This paper proposes an elderly-care system, which uses a single sensing device installed in the userÃ¢â‚¬â„¢s home, primarily based on a microphone. We present preliminary results on human activity recognition from sound data. The recognition is based on 19 types of sound features, such as spectral centroid, zero crossings, Melfrequency cepstrum coefficients (MFCC) and linear predictive coding (LPC). We distinguished between 6 classes: sleep, exercise, work, eating, home chores and home leisure. We evaluated the recognition accuracy using 4 supervised learning algorithms. The highest accuracy, obtained using support vector machines, was 76%.

Keywords: Microphone, Linear Predictive Coding, Support Vector Machines, Sound Data An Elderly - Care System Based on Sound Analysis

DOI:https://doi.org/10.6025/stj/2019/8/2/54-59

Full_Text PDF 1.09 MB Download: 397 times

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