Cognitive Phone for Sensing Human Behavior

Cognitive Phone for Sensing Human Behavior

Ling Pei, Robert Guinness, Jyrki Kaistinen
Copyright: © 2015 |Pages: 13
DOI: 10.4018/978-1-4666-8239-9.ch093
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A boom of various sensor options gives a mobile phone the capability for sensing the social context and makes a mobile phone an attractive “cognitive” platform, which has great potential to model and cognize human behavior. A review of the history, current state, and future directions of the cognitive phone are outlined in this article. An implementation example of a cognitive phone is presented, and a Location-Motion-Context (LoMoCo) model is introduced, to combine personal location information and motion states to infer a corresponding context. Future possibilities of cognitive phones in behavior detection and change are outlined.
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Current Scientific Knowledge Of Cognitive Phones

The evolution of mobile phones and built-in sensors increase the capability of a mobile phone to become a cognitive platform.

Evolution of Mobile Phone Network

Mobile phone also known as handheld phone or cell phone was first was demonstrated by Motorola in 1973. Mobile phone was designed for the wireless communication of telephones. The first generation (1G) mobile telecommunication using analog technology was produced during 1980s. In 1991, the second generation (2G) digital cellular technology was launched in Finland on the GSM standard. Both 1G and 2G mobile phones are focusing on the voice service. From the third generation of mobile telecommunication, increasing data stream services are demanded by mobile phone users. Besides, users require more computation and connection capabilities to support the diverse mobile applications running on a mobile phone. In the fourth generation of mobile phone network, high speed connection is demanded to support the pervasive applications including online movies, high-definition mobile TV, video conferencing, 3D television and cloud computing. The advanced mobile networks enable mobile phones online sensing capabilities in a rich context environment.

Key Terms in this Chapter

Sensor: A device that detects events or changes in quantities and provides a corresponding output.

Motion Recognition: A pattern recognition method of recognizing human motion states using sensors, such as accelerometers, gyroscopes, cameras, and so on.

Localization: A technique for determining one's position.

Behavior Detection: A method of inferring human behavior by sensing the contexts around a user.

Cognitive Phone: A phone with the capabilities of sensing and inferring human behavior and social context from the own platform, connected sensors, and/or linked servers.

Mobile Phone: A phone that can make and receive telephone calls over a radio link while moving around a wide geographic area.

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