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MobAware’-Employing Context Awareness, Sensors and Cloud for Automatic Emergency Help Requests

Publication Type : Conference Paper

Thematic Areas : Amrita Center for Cybersecurity Systems and Networks

Publisher : International Conference on Ambient Assisted Living Technologies based on Internet of Things

Source : International Conference on Ambient Assisted Living Technologies based on Internet of Things, 2016.

Campus : Amritapuri

School : School of Engineering

Center : Cyber Security

Department : Internet Studies and Artificial Intelligence-CISAI

Year : 2016

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.

Cite this Research Publication : P. Poornachandran, A. Ashok, AU, P. Shankar, VG, S., Krishnamoorthy, S., Bharataraju, M., Panchagnula, S. K., and Khyati, D., “MobAware’-Employing Context Awareness, Sensors and Cloud for Automatic Emergency Help Requests”, in International Conference on Ambient Assisted Living Technologies based on Internet of Things, 2016.

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