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Ambient Intelligence in Everyday Life pp 67–85Cite as

Empathic Computing

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3864))

Abstract

Empathic computing is an emergent paradigm that enables a system to understand human states and feelings and to share this intimate information. The new paradigm is made possible by the convergence of affordable sensors, embedded processors and wireless ad-hoc networks. The power law for multi-resolution channels and mobile-stationary sensor webs is introduced to resolve the information avalanche problems. As empathic computing is sensor-rich computing, particular models such as semantic differential expressions and inverse physics are discussed. A case study of a wearable sensor network for detection of a falling event is presented. It is found that the location of the wearable sensor is sensitive to the results. From the machine learning algorithm, the accuracy reaches up to 90% from 21 simulated trials. Empathic computing is not limited to healthcare. It can also be applied to solve other everyday-life problems such as management of emails and stress.

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  1. Carnegie Mellon University, USA

    Yang Cai

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  1. Yang Cai
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  1. Ambient Intelligence Lab, Carnegie Mellon University, CIC-2218, 4720 Forbes Avenue, 15213, Pittsburgh, PA, USA

    Yang Cai

  2. Informatika Fakultatea, University of the Basque Country, Manuel Lardizabal 1, 20018, Donostia, Spain

    Julio Abascal

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Cai, Y. (2006). Empathic Computing. In: Cai, Y., Abascal, J. (eds) Ambient Intelligence in Everyday Life. Lecture Notes in Computer Science(), vol 3864. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11825890_3

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  • DOI: https://doi.org/10.1007/11825890_3

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