PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Amoretti M., Copelli S., Wientapper F., Furfari F., Lenzi S., Chessa S. Sensor data fusion for activity monitoring in the PERSONA ambient assisted living project. In: Journal of Ambient Intelligence and Humanized Computing, vol. 4 (1) pp. 67 - 84. Springer, 2013.
 
 
Abstract
(English)
User activity monitoring is a major problem in Ambient Assisted Living, since it requires to infer new knowledge from collected and fused sensor data while dealing with highly dynamic environments, where devices continu- ously change their availability and (or) physical location. In the context of the European project PERSONA, we have developed an activity monitoring sub- system characterized by high modularity, little invasiveness of the environment and good responsiveness. In this paper we rst illustrate the functional archi- tecture of the proposed solution from a general point of view, discussing the motivations of the design. Then we describe in details the software components - Sensor Abstraction and Integration Layer, Human Posture Classi cation, Ac- tivity Monitor - and the resulting activity monitoring application, presenting also a performance evaluation.
URL: http://www.springerlink.com/content/c4kp82520qm41722/
DOI: 10.1007/s12652-011-0095-6
Subject Ambient Assisted Living
Applications for pervasive computing
Context awareness
Sensor data fusion
Activity monitoring
J.3 LIFE AND MEDICAL SCIENCES. Health
K.4.2 Social Issues. Handicapped persons/special needs


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