title: Evaluation of a Home Biomonitoring Autonomous Mobile Robot.
abstract: Increasing population age demands more services in healthcare domain. It has been shown that mobile robots could be a potential solution to home biomonitoring for the elderly. Through our previous studies, a mobile robot system that is able to track a subject and identify his daily living activities has been developed. However, the system has not been tested in any home living scenarios. In this study we did a series of experiments to investigate the accuracy of activity recognition of the mobile robot in a home living scenario. The daily activities tested in the evaluation experiment include watching TV and sleeping. A dataset recorded by a distributed distance-measuring sensor network was used as a reference to the activity recognition results. It was shown that the accuracy is not consistent for all the activities; that is, mobile robot could achieve a high success rate in some activities but a poor success rate in others. It was found that the observation position of the mobile robot and subject surroundings have high impact on the accuracy of the activity recognition, due to the variability of the home living daily activities and their transitional process. The possibility of improvement of recognition accuracy has been shown too.
authors.affiliation: Graduate School of Engineering, Chiba University, Nishi-Chiba, Chiba, Japan.
authors.forename: Enrique
authors.initials: E
authors.lastname: Dorronzoro Zubiete
authors.affiliation: Graduate School of Engineering, Chiba University, Nishi-Chiba, Chiba, Japan.
authors.forename: Keigo
authors.initials: K
authors.lastname: Nakahata
authors.affiliation: Graduate School of Engineering, Chiba University, Nishi-Chiba, Chiba, Japan; Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan.
authors.forename: Nevrez
authors.initials: N
authors.lastname: Imamoglu
authors.affiliation: Center for Frontier Medical Engineering, Chiba University, Chiba, Japan.
authors.forename: Masashi
authors.initials: M
authors.lastname: Sekine
authors.affiliation: The University of Electro-Communications, Tokyo, Japan.
authors.forename: Guanghao
authors.initials: G
authors.lastname: Sun
authors.affiliation: University of Seville, 41012 Seville, Spain.
authors.forename: Isabel
authors.initials: I
authors.lastname: Gomez
authors.affiliation: Graduate School of Engineering, Chiba University, Nishi-Chiba, Chiba, Japan.
authors.forename: Wenwei
authors.initials: W
authors.lastname: Yu
mesh_terms: D000203:Activities of Daily Living; D000328:Adult; D000465:Algorithms; D004784:Environmental Monitoring; D006801:Humans; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods*; D012371:Robotics; D060388:Support Vector Machine; D059015:Wireless Technology; D055815:Young Adult