title: Using Passive Sensing to Estimate Relative Energy Expenditure for Eldercare Monitoring.
abstract: This paper describes ongoing work in analyzing sensor data logged in the homes of seniors. An estimation of relative energy expenditure is computed using motion density from passive infrared motion sensors mounted in the environment. We introduce a new algorithm for detecting visitors in the home using motion sensor data and a set of fuzzy rules. The visitor algorithm, as well as a previous algorithm for identifying time-away-from-home (TAFH), are used to filter the logged motion sensor data. Thus, the energy expenditure estimate uses data collected only when the resident is home alone. Case studies are included from TigerPlace, an Aging in Place community, to illustrate how the relative energy expenditure estimate can be used to track health conditions over time.
authors.affiliation: Electrical and Computer Engineering Dept., University of Missouri-Columbia Columbia, MO, USA.
authors.forename: Shuang
authors.initials: S
authors.lastname: Wang
authors.affiliation: Computer Science Dept., University of Missouri-Columbia Columbia, MO, USA.
authors.forename: Marjorie
authors.initials: M
authors.lastname: Skubic
authors.affiliation: School of Social Work University of Missouri-Columbia Columbia, MO, USA.
authors.forename: Yingnan
authors.initials: Y
authors.lastname: Zhu
authors.forename: Colleen
authors.initials: C
authors.lastname: Galambos
keywords: eldercare monitoring; energy expenditure; fuzzy logic; motion density map; visitor recognition