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(2006) Ambient intelligence in everyday life, Dordrecht, Springer.
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.
Publication details
DOI: 10.1007/11825890_3
Full citation:
Cai, Y. (2006)., Empathic computing, in Y. Cai & J. Abascal (eds.), Ambient intelligence in everyday life, Dordrecht, Springer, pp. 67-85.
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