title: Automatic recognition of postural allocations.
abstract: A significant part of daily energy expenditure may be attributed to non-exercise activity thermogenesis and exercise activity thermogenesis. Automatic recognition of postural allocations such as standing or sitting can be used in behavioral modification programs aimed at minimizing static postures. In this paper we propose a shoe-based device and related pattern recognition methodology for recognition of postural allocations. Inexpensive technology allows implementation of this methodology as a part of footwear. The experimental results suggest high efficiency and reliability of the proposed approach.
authors.affiliation: Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY 13699, USA. esazonov@cias.clarkson.edu
authors.forename: Edward
authors.initials: E
authors.lastname: Sazonov
authors.forename: Vidya
authors.initials: V
authors.lastname: Krishnamurthy
authors.forename: Oleksandr
authors.initials: O
authors.lastname: Makeyev
authors.forename: Ray
authors.initials: R
authors.lastname: Browning
authors.forename: Yves
authors.initials: Y
authors.lastname: Schutz
authors.forename: James
authors.initials: J
authors.lastname: Hill
mesh_terms: D001331:Automation; D006801:Humans; D010363:Pattern Recognition, Automated; D011187:Posture / Q000502:physiology*