title: Human-assisted sound event recognition for home service robots.
abstract: This paper proposes and implements an open framework of active auditory learning for a home service robot to serve the elderly living alone at home. The framework was developed to realize the various auditory perception capabilities while enabling a remote human operator to involve in the sound event recognition process for elderly care. The home service robot is able to estimate the sound source position and collaborate with the human operator in sound event recognition while protecting the privacy of the elderly. Our experimental results validated the proposed framework and evaluated auditory perception capabilities and human-robot collaboration in sound event recognition.
authors.affiliation: School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK 74078 USA ; Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing, 100048 China.
authors.forename: Ha Manh
authors.initials: HM
authors.lastname: Do
authors.affiliation: School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK 74078 USA ; Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing, 100048 China.
authors.forename: Weihua
authors.initials: W
authors.lastname: Sheng
authors.affiliation: College of Electrical Engineering, Zhejiang University, Hangzhou, 310027 China.
authors.forename: Meiqin
authors.initials: M
authors.lastname: Liu
keywords: Auditory perception; Elderly care; Home service robot; Human–robot collaboration; Sound event recognition