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Context Aware Sensing

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Body Sensor Networks

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Abstract

In recent years, there have been considerable interests in context-aware sensing for pervasive computing. Context can be defined as “the circumstances in which an event occurs” and this concept has been successfully used in information processing for over 50 years, particularly for Natural Language Processing (NLP) and Human Computer Interaction (HCI). The popularity of the context-aware architectures is due to the increasingly ubiquitous nature of the sensors, as well as the diversity of the environment under which the sensed signals are collected. To understand the intrinsic characteristics of the sensed signals and determine how BSNs should react to different events, the contextual information is essential to the adaptation of the monitoring device so as to provide more intelligent support to the users.

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Acknowledgements

The authors would like to thank Dr Jindong Liu and Mr. Krittameth Teachasrisakul for their assistance in data collection, audio feature extraction and sensor data analysis for the parallel activity experiment in Sect. 9.5.4. We also thank Dr Raza Ali for his contribution to the contents of Sect. 9.5 on behaviour profiling and transient activity recognition.

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  1. National Electronics and Computer Technology Center, Pathumthani, 12120, Thailand

    Surapa Thiemjarus

  2. The Hamlyn Centre, Imperial College London, London, SW7 2BY, UK

    Guang-Zhong Yang PhD

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  1. Surapa Thiemjarus
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Correspondence to Guang-Zhong Yang PhD .

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  1. Director and Co-Founder,The Hamlyn Centre, Imperial College London, London, United Kingdom

    Guang-Zhong Yang

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Thiemjarus, S., Yang, GZ. (2014). Context Aware Sensing. In: Yang, GZ. (eds) Body Sensor Networks. Springer, London. https://doi.org/10.1007/978-1-4471-6374-9_9

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