TY - GEN
T1 - An indoor-movement simulator for ambient assisted living systems
AU - Liu, Wei
AU - Shoji, Yozo
AU - Shinkuma, Ryoichi
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - This paper proposes a simulator for reproducing indoor human movements to facilitate developments and validations of ambient assisted living (AAL) systems. The proposed simulator learns actual behavior logs of real people to generate a graph data structure that represents their life interests. These generated graphs are then assigned to virtual agents in the simulator to make them behave similarly as real people in the simulated environments. Compared to conventional ones, the three main contributions of our proposed simulator are: (1) It is scalable to simulate indoor movements of a large number of people from a limited number of actual behavior logs; (2) It is adaptive to simulate how differently people would behave in different arrangements and layouts of the environment; and (3) It is flexible to simulate how people would behave when they face an unexpected situation. This paper mainly focuses on the conceptual justification of the proposal and we have validated novelties of the proposed simulator from its design and implementation. Finally, perspectives on its quantitative evaluation have also been discussed thoroughly.
AB - This paper proposes a simulator for reproducing indoor human movements to facilitate developments and validations of ambient assisted living (AAL) systems. The proposed simulator learns actual behavior logs of real people to generate a graph data structure that represents their life interests. These generated graphs are then assigned to virtual agents in the simulator to make them behave similarly as real people in the simulated environments. Compared to conventional ones, the three main contributions of our proposed simulator are: (1) It is scalable to simulate indoor movements of a large number of people from a limited number of actual behavior logs; (2) It is adaptive to simulate how differently people would behave in different arrangements and layouts of the environment; and (3) It is flexible to simulate how people would behave when they face an unexpected situation. This paper mainly focuses on the conceptual justification of the proposal and we have validated novelties of the proposed simulator from its design and implementation. Finally, perspectives on its quantitative evaluation have also been discussed thoroughly.
UR - http://www.scopus.com/inward/record.url?scp=84971353921&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84971353921&partnerID=8YFLogxK
U2 - 10.1109/GLOCOMW.2015.7414005
DO - 10.1109/GLOCOMW.2015.7414005
M3 - Conference contribution
AN - SCOPUS:84971353921
T3 - 2015 IEEE Globecom Workshops, GC Wkshps 2015 - Proceedings
BT - 2015 IEEE Globecom Workshops, GC Wkshps 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Globecom Workshops, GC Wkshps 2015
Y2 - 6 December 2015 through 10 December 2015
ER -