Research Article
‘MobAware’-Harnessing Context Awareness, Sensors and Cloud for Spontaneous Personal Safety Emergency Help Requests
@INPROCEEDINGS{10.1007/978-3-319-73423-1_1, author={V. Sujadevi and Aravind Ashok and Shivsubramani Krishnamoorthy and P. Prabaharan and Prem Shankar and Mani Bharataraju and Sai Keerti and D. Khyati}, title={‘MobAware’-Harnessing Context Awareness, Sensors and Cloud for Spontaneous Personal Safety Emergency Help Requests}, proceedings={Ubiquitous Communications and Network Computing. First International Conference, UBICNET 2017, Bangalore, India, August 3-5, 2017, Proceedings}, proceedings_a={UBICNET}, year={2018}, month={1}, keywords={Context aware system Smartphone Cloud service Personal safety Emergency help Decision tree}, doi={10.1007/978-3-319-73423-1_1} }- V. Sujadevi
Aravind Ashok
Shivsubramani Krishnamoorthy
P. Prabaharan
Prem Shankar
Mani Bharataraju
Sai Keerti
D. Khyati
Year: 2018
‘MobAware’-Harnessing Context Awareness, Sensors and Cloud for Spontaneous Personal Safety Emergency Help Requests
UBICNET
Springer
DOI: 10.1007/978-3-319-73423-1_1
Abstract
Significant increase of crimes against women in recent years and the advent of smart phone and wearable technologies have accelerated the need for personal safety devices and applications. These systems can be used to summon for help during the emergency situations. While several mobile applications that sends emergency help requests are available they need to be manually activated by the victim. In most of the personal emergency situations the victim might not be in a position to reach out for the Smart phone for summoning help. In this research we address this issue by implementing a system that automatically senses certain personal emergency situations, that summons for help with minimal or no user intervention. Summoning of help gets triggered when the smartphone sensors senses an abnormal events such as unusual movement and voice. This system also profiles the spatial information using the crawled web data and provides the contextual information about the risks score of the location. By using sensors and context awareness our system summons for emergency help with minimal/no intervention by the user.
