Introduction
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69 % of the respondents are satisfied with their current situation in terms of living and would not want to change it,
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5 % of respondents would want to move from a home for the elderly or a nursing home to a private home,
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4 people (4 %) would move to a home for the elderly in the future and
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6 people (6 %) would move to a nursing home,
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16 people (16 %) would live in an intelligent house.
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CCTV in common areas (64 %)
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A SOS button (56 %)
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Sensor equipment (smoke detectors, gas and water leakage detectors), (43 %)
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Medical equipment (check of physiological functions) along with
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Cameras in private areas scored the least points (13 % and 2 %)
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46 % of respondents still prefer manual control over the house/apartment
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24 % of respondents would want to control Smart Home by voice
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12 % of them would control it via a computer
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8 % by touchscreen and
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10 % of respondents would use it through portable devices
Description of development environment
Application appearance and basic features
Application structure and description of source codes
Interconnection of the application and KNX communication fieldbus
Connection of the entire communication network
Implementation of interconnection directly in the G.H.O.S.T application
Experimental part - testing and command recognition success rate statistics
Microphone integrated in PC (without distance, without ambient noise) – test 1
Microphone integrated in PC (distance 3 m, without ambient noise) – test 2
Microphone integrated in PC (with ambient noise) – test 3
Wireless microphone (without ambient noise) – test 4
Wireless microphone (with ambient noise) – test 5
Suppression of additive background noise for voice control over operating and technical functions in the smart home care
Description of the reference room used for the experiments
Description of experiments for voice communication inside the reference room to suppress the additive background noise
ANFIS information | ||||
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Building the ANFIS Model | A | B | C | D |
Number of Nodes (NN) | 21 | 35 | 53 | 75 |
Number of Linear Parameters (NLP) | 12 | 27 | 48 | 75 |
Number of Nonlinear Parameters (NNP) | 12 | 18 | 24 | 30 |
Total Number of Parameters (TNP) | 24 | 45 | 72 | 105 |
Number of Fuzzy Rules (NFR) | 4 | 9 | 16 | 25 |
Description of the methods for evaluating the quality of filtering the additive noise out of the speech signal
SSNR (dB) |
d (−) |
t (s) | |
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Improvement | DTW Criterion | Processing | |
ANFIS A | 15.551 | 0.725 | 113 |
ANFIS B | 16.754 | 0.630 | 213 |
ANFIS C | 18.598 | 0.617 | 391 |
ANFIS D | 19.689 | 0.692 | 768 |
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P = [p(1),…, p(P)] of length P,
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test vector (output speech signal from ANFIS): O = [o(1), . . . o(T)] of length T.