TY - GEN
T1 - Automatic Daily Activity Schedule Planning for Simulating Smart House with Elderly People Living Alone
AU - Jiang, Can
AU - Mita, Akira
N1 - Funding Information:
This research was partially supported by a grant from the Japan Society for the Promotion of Science (JSPS KAKENHI 18H00968) and a scholarship of Mizuho International Foundation.
Publisher Copyright:
© 2020, The Author(s).
PY - 2020
Y1 - 2020
N2 - A simulation tool that supports developers to build scenarios automatically in multiple simulation platforms is proposed. As an essential part of this simulator, this study proposed an activity schedule generator to mimic the daily life of elderly people living alone. This generator outperforms existing methods of activity schedule planning in three aspects: 1) it is adaptive to the layout of a simulated smart house; 2) there is no unspecified time in the timeline of generated schedules; and 3) it generates stable, but not tedious schedules for a number of days. A real-time location data generator is proposed to convert generated schedules to simulated real-time location data of the resident, and a proposed interface converts these simulated location data to simulated records of virtual passive infrared (PIR) sensors, which can be used to optimize placement of PIR sensors in a smart house.
AB - A simulation tool that supports developers to build scenarios automatically in multiple simulation platforms is proposed. As an essential part of this simulator, this study proposed an activity schedule generator to mimic the daily life of elderly people living alone. This generator outperforms existing methods of activity schedule planning in three aspects: 1) it is adaptive to the layout of a simulated smart house; 2) there is no unspecified time in the timeline of generated schedules; and 3) it generates stable, but not tedious schedules for a number of days. A real-time location data generator is proposed to convert generated schedules to simulated real-time location data of the resident, and a proposed interface converts these simulated location data to simulated records of virtual passive infrared (PIR) sensors, which can be used to optimize placement of PIR sensors in a smart house.
KW - Activity of daily living
KW - Automatic scenario generation
KW - Elderly people living alone
KW - Motivation
KW - Smart home simulator
UR - http://www.scopus.com/inward/record.url?scp=85087786223&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85087786223&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-51517-1_14
DO - 10.1007/978-3-030-51517-1_14
M3 - Conference contribution
AN - SCOPUS:85087786223
SN - 9783030515164
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 171
EP - 183
BT - The Impact of Digital Technologies on Public Health in Developed and Developing Countries - 18th International Conference, ICOST 2020, Proceedings
A2 - Jmaiel, Mohamed
A2 - Aloulou, Hamdi
A2 - Mokhtari, Mounir
A2 - Abdulrazak, Bessam
A2 - Kallel, Slim
PB - Springer
T2 - 18th International Conference on Smart Homes and Health Telematics, ICOST 2020
Y2 - 24 June 2020 through 26 June 2020
ER -