
Publication details
Publisher: Springer
Place: Berlin
Year: 2006
Pages: 67-85
Series: Lecture Notes in Computer Science
ISBN (Hardback): 9783540377856
Full citation:
, "Empathic computing", in: Ambient intelligence in everyday life, Berlin, Springer, 2006


Empathic computing
pp. 67-85
in: Yang Cai, Julio Abascal (eds), Ambient intelligence in everyday life, Berlin, Springer, 2006Abstract
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
Publisher: Springer
Place: Berlin
Year: 2006
Pages: 67-85
Series: Lecture Notes in Computer Science
ISBN (Hardback): 9783540377856
Full citation:
, "Empathic computing", in: Ambient intelligence in everyday life, Berlin, Springer, 2006