• A. Shali
• P. Surekha
• P. Surekha
• S. Sindhu

nowadays for majority of the applications. Tag less human localization can really be helpful in the field of health care. Some Machine learning algorithms can fruitfully detect sensor data variability and noises caused by the deployment-specific conditions of environment. We present a system in which we make use of experimental data from a capacitive sensor-based indoor human localization system to detect unauthorized intrusion and abnormal entries that can be further monitored using the GSM modules. Machine learning algorithms like the Weka Collections can be used for human indoor localization for the purpose of exactly identifying the person's location inside a room and further prevent him or her entering furthermore using a shock generator.

"CAPACITIVE SENSORS FOR SAFETY APPLICATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.212-214, May 2019, Available :http://www.jetir.org/papers/JETIRCU06043.pdf

"CAPACITIVE SENSORS FOR SAFETY APPLICATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp212-214, May 2019, Available at : http://www.jetir.org/papers/JETIRCU06043.pdf