title: A dynamic data source selection system for smartwatch platform.
abstract: A novel data source selection algorithm is proposed for ambulatory activity tracking of elderly people. The algorithm introduces the concept of dynamic switching between the data collection modules (a smartwatch and a smartphone) to improve accuracy and battery life using contextual information. We show that by making offloading decisions as a function of activity, the proposed algorithm improves power consumption and accuracy of the previous work by 7 hours and 5% respectively compared to the baseline.
authors.forename: Ebrahim
authors.initials: E
authors.lastname: Nemati
authors.forename: Konstantinos
authors.initials: K
authors.lastname: Sideris
authors.forename: Haik
authors.initials: H
authors.lastname: Kalantarian
authors.forename: Majid
authors.initials: M
authors.lastname: Sarrafzadeh
mesh_terms: D000368:Aged; D000465:Algorithms; D003625:Data Collection; D006801:Humans; D016247:Information Storage and Retrieval; D018670:Monitoring, Ambulatory; D000068997:Smartphone