An Integrated Approach to Home Security and Safety Systems

Sonali Goyal, Neera Batra (MM University, India), N. K. Batra

$231

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

CRC Press
18 October 2021

Coding theory & cryptology; Ethical & social aspects of computing; Legal aspects of computing; Algorithms & data structures; Computer security

"This 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."

By: Sonali Goyal, Neera Batra (MM University, India), N. K. Batra
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 394g
ISBN: 9780367638412
ISBN 10: 036763841X
Pages: 176
Publication Date: 18 October 2021
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

Preface. Acknowledgments. List of abbreviations. CHAPTER 1 Overview of pervasive computing. CHAPTER 2 Hybrid face recognition technology for individual’s security at home. CHAPTER 3 Hybrid MFRASTA voice recognition technology for individual’s security at home. CHAPTER 4 Sensor-based health monitoring system using fingertip application. CHAPTER 5 Hybrid PICA and MFRASTA technology with sensor-based fingertip application for individual’s security at home. CHAPTER 6 Conclusion and future research. References. Index.

Dr. 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.