Amoretti Michele, Copelli Sergio, Wientapper Folker, Furfari Francesco, Lenzi Stefano, Chessa Stefano
ambient assisted living (AAL) Applications for pervasive computing Sensor data fusion Context awareness Context-Awareness activity monitoring General Computer Science sensor fusion Ambient Assisted Living J.3 LIFE AND MEDICAL SCIENCES. Health Activity monitoring K.4.2 Social Issues. Handicapped persons/special needs
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.
Source: Journal of Ambient Intelligence and Humanized Computing 4 (2013): 67–84. doi:10.1007/s12652-011-0095-6
Publisher: springer, itali, Germania
@article{oai:it.cnr:prodotti:199518, title = {Sensor data fusion for activity monitoring in the PERSONA ambient assisted living project}, author = {Amoretti Michele and Copelli Sergio and Wientapper Folker and Furfari Francesco and Lenzi Stefano and Chessa Stefano}, publisher = {springer, itali, Germania}, doi = {10.1007/s12652-011-0095-6}, journal = {Journal of Ambient Intelligence and Humanized Computing}, volume = {4}, pages = {67–84}, year = {2013} }