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- W2746819022 abstract "Abstract One of the key requirements for technological systems that are used to secure independent housing for seniors in their home environment is monitoring of daily living activities (ADL), their classification, and recognition of routine daily patterns and habits of seniors in Smart Home Care (SHC). To monitor daily living activities, the use of a temperature, CO 2 , humidity sensors, and microphones are described in experiments in this study. The first part of the paper describes the use of CO 2 concentration measurement for detecting and monitoring room´s occupancy in SHC. In second part focuses this paper on the proposal of an implementation of Artificial Neural Network based on the Levenberg–Marquardt algorithm (LMA) for the detection of human presence in a room of SHC with the use of predictive calculation of CO 2 concentrations from obtained measurements of temperature (indoor, outdoor) T i , T o and relative air humidity rH. Based on the long-term monitoring (1 month) of operational and technical functions (unregulated, uncontrolled) in an experimental Smart Home (SH), LMA was trained through the data picked up by the sensors of CO 2 , T and rH with the aim to indirectly predict CO 2 leading to the elimination of CO 2 sensor from the measurement process. Within the realized experiment, input parameters of the neuronal network and the number of neurons for LMA were optimized on the basis of calculated values of Root Mean Squared Error, the correlative coefficient (R) and the length of the measured training time ANN. With the use of the trained network ANN, we realized a strictly controlled short-term (11 h) experiment without the use of CO2 sensor. Experimental results verified high method accuracy (>95%) within the short-term and long-term experiments for learned ANN (1.6.2015–30.6.2015). For learned ANN (1.2.2014–27.2.2014) was verified worse method accuracy (>60%). The original contribution is a verification of a low-cost method for the detection of human presence in the real operating environment of SHC. In the third part of the paper is described the practical implementation of voice control of operating technical functions by the KNX technology in SHC by means of the in-house developed application HESTIA, intended for both the desktop system version and the mobile version of the Windows 10 operating system for mobile phones. The resultant application can be configured for any building equipped with the KNX bus system. Voice control implementation is an in-house solution, no third-party software is used here. Utilization of the voice communication application in SHC was proven on the experimental basis with the combination of measurement CO 2 for ADL monitoring in SHC." @default.
- W2746819022 created "2017-08-31" @default.
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- W2746819022 date "2017-11-02" @default.
- W2746819022 modified "2023-10-14" @default.
- W2746819022 title "Monitoring of the daily living activities in smart home care" @default.
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- W2746819022 cites W1548891493 @default.
- W2746819022 cites W1557145378 @default.
- W2746819022 cites W1572730394 @default.
- W2746819022 cites W1586767465 @default.
- W2746819022 cites W1588919408 @default.
- W2746819022 cites W1671410324 @default.
- W2746819022 cites W1877678121 @default.
- W2746819022 cites W1894944606 @default.
- W2746819022 cites W1919960520 @default.
- W2746819022 cites W1970971073 @default.
- W2746819022 cites W1972669681 @default.
- W2746819022 cites W1978401637 @default.
- W2746819022 cites W1987910800 @default.
- W2746819022 cites W1994158003 @default.
- W2746819022 cites W2004513044 @default.
- W2746819022 cites W2014084036 @default.
- W2746819022 cites W2016460065 @default.
- W2746819022 cites W2031751002 @default.
- W2746819022 cites W2042804721 @default.
- W2746819022 cites W2046076494 @default.
- W2746819022 cites W2050221980 @default.
- W2746819022 cites W2052793700 @default.
- W2746819022 cites W2053711578 @default.
- W2746819022 cites W2054596374 @default.
- W2746819022 cites W2061288923 @default.
- W2746819022 cites W2071508940 @default.
- W2746819022 cites W2074094706 @default.
- W2746819022 cites W2074746114 @default.
- W2746819022 cites W2076961193 @default.
- W2746819022 cites W2078297434 @default.
- W2746819022 cites W2080285021 @default.
- W2746819022 cites W2094711133 @default.
- W2746819022 cites W2113796814 @default.
- W2746819022 cites W2116225745 @default.
- W2746819022 cites W2119046371 @default.
- W2746819022 cites W2129897528 @default.
- W2746819022 cites W2133417935 @default.
- W2746819022 cites W2137278606 @default.
- W2746819022 cites W2140527568 @default.
- W2746819022 cites W2141188933 @default.
- W2746819022 cites W2147347395 @default.
- W2746819022 cites W2159759971 @default.
- W2746819022 cites W2169473770 @default.
- W2746819022 cites W2185469415 @default.
- W2746819022 cites W2186233057 @default.
- W2746819022 cites W2221187835 @default.
- W2746819022 cites W2253820224 @default.
- W2746819022 cites W2296193698 @default.
- W2746819022 cites W2298372233 @default.
- W2746819022 cites W2303635780 @default.
- W2746819022 cites W2314153399 @default.
- W2746819022 cites W2325286673 @default.
- W2746819022 cites W2333272860 @default.
- W2746819022 cites W2422266445 @default.
- W2746819022 cites W2440362405 @default.
- W2746819022 cites W2474529778 @default.
- W2746819022 cites W2490067093 @default.
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- W2746819022 cites W2525098727 @default.
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- W2746819022 cites W2548470669 @default.
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- W2746819022 doi "https://doi.org/10.1186/s13673-017-0113-6" @default.
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