000			05379cam a2200481xi 4500
001			tfe1265085188
003			OCoLC
005			20230502095933.0
006			m o d
007			cr |||||||||||
008			210826t20222022flua ob 001 0 eng d
020			_z9780367638412
024	7		_a10.1201/9781003120933
035			_a(OCoLC)1265085188 _z(OCoLC)1276800111
037			_atfe9781003120933
040			_aYDX _beng _erda _cYDX _dYDX _dTYFRS _dUKAHL _dUKMGB _dTYFRS _dOCLCF _dYDX
049			_aGWRE
050		4	_aTK7881.25 _b.G724 2022
100	1		_aGoyal, Sonali, _eauthor.
245	1	3	_aAn Integrated Approach To Home Security and Safety Systems / _cSonali Goyal, Neera Batra, N.K. Batra.
250			_aFirst edition.
260			_aBoca Raton: _bCRC Press, _c2022.
300			_a(xiv, 175 pages); _c24 cm.
504			_aIncludes bibliographical references and index.
520			_aThis book provides an integrated solution for security and safety in the home, covering both assistance in health monitoring and safety from strangers/intruders who want to enter the home with harmful intentions. It defines a system whereby recognition of a person/stranger at the door is done using three modules: Face Recognition, Voice Recognition and Similarity Index. These three modules are taken together to provide a percentage likelihood that the individual is in the "known" or "unknown" category. The system can also continuously monitor the health parameters of a vulnerable person living alone at home and aid them in calling for help in an emergency. The authors have analyzed a number of existing biometric techniques to provide security for an individual living alone at home. These biometric techniques have been tested using MATLAB image processing and signal processing toolboxes, and results have been calculated on the basis of recognition rate. A major contribution in providing security is a hybrid algorithm proposed by the author named PICA, which combines features of both PCA (Principle Component Analysis) and ICA (Independent Component Analysis) algorithms. This hybrid approach gives better performance recognition than either system alone. The second proposed hybrid algorithm for voice recognition is named as a MFRASTA algorithm by combining features of MFCC (Mel Frequency Cepstral Coefficient) and RASTA-PLP (RelAtive SpecTrA-Perceptual Linear Prediction) algorithm. After performing experiments, results are collected on the basis of recognition rate. The authors have also proposed a third technique named as a Similarity Index to provide trust-based security for an individual. This technique is text independent in which a person is recognized by pronunciation, frequency, tone, pitch, etc., irrespective of the content spoken by the person. By combining these three techniques, a high recognition rate is provided to the person at the door and high security to the individual living independently at home. In the final contribution, the authors have proposed a fingertip-based application for health monitoring by using the concept of sensors. This application is developed using iPhone 6's camera. When a person puts their fingertip on a camera lens, with the help of brightness of the skin, the person's heartbeat will be monitored. This is possible even with a low-quality camera. In case of any emergency, text messages will be sent to the family members of the individual living alone by using 3G Dongle and MATLAB tool. Results show that the proposed work outperforms all the existing techniques used in face recognition, voice recognition, and health monitoring alone.
545	0		_aDr. Sonali Goyal is PhD in Computer Science & Engg. She has teaching experience of 8 years and is currently working as an Assistant Professor in the computer science department at MMDU. She has published more than 10 papers in national and international journals of repute. She has published two patents which are to be awarded soon. Her areas of interest in computer science are Pervasive Computing, Bio-metrics and Data Mining. Dr. Neera Batra has a Phd in Computer Applications. She has a decade of teaching and research experience and is currently working as an Associate Professor in computer science department at MMDU. She has published more than 40 papers in national and international journals of repute. She has published six patents which are to be awarded soon. Her areas of interest in computer science are Pervasive computing, Internet of Things, Distributed Database and Security.
650		0	_aHome automation.
650		0	_aDwellings _xSecurity measures _xTechnological innovations.
650		0	_aElectronic surveillance.
650		0	_aSelf-help devices for people with disabilities.
650		7	_aElectronic surveillance. _2fast
650		7	_aHome automation. _2fast
650		7	_aSelf-help devices for people with disabilities. _2fast
700	1		_aBatra, Neera, _eauthor.
700	1		_aBatra, N.K., _eauthor.
776	0	8	_iPrint version: _z9781000465198.
776	0	8	_iPrint version: _z036763841X _z9780367638412 _w(OCoLC)1249074619.
856	4	0	_uhttps://colorado.idm.oclc.org/login?url=https://www.taylorfrancis.com/books/9781003120933 _zFull Text (via Taylor & Francis)
907			_a.b119739471 _b11-30-21 _c10-04-21
942			_2lcc _cBK
956			_aTaylor & Francis Ebooks
956			_bTaylor & Francis All eBooks
999			_c5534 _d5534