Authors:
Jasmijn Franke
1
;
2
;
Christiane Grünloh
1
;
2
;
Dennis Hofs
1
;
Boris Van Schooten
1
;
Andreea Bondrea
1
and
Miriam Cabrita
1
;
2
;
3
Affiliations:
1
eHealth Group, Roessingh Research and Development, Enschede, The Netherlands
;
2
Biomedical Signals and Systems Group, University of Twente, Enschede, The Netherlands
;
3
Innovation Sprint Sprl, Brussels, Belgium
Keyword(s):
Physical Activity, Sedentary Periods, Sedentary Bouts, Inactive Periods, Inactive Bouts, Virtual Coach, Coaching, Embodied Conversational Agent, mHealth, eHealth.
Abstract:
Office workers often lead sedentary lifestyles, a lifestyle responsible for higher risks of cardiovascular disease, stroke, diabetes and premature mortality. Improvements towards a more active lifestyle reduce cardiovascular risks and thus changing the sedentary lifestyle might prevent chronic illness. The Recurring Sedentary Period Detection (RSPD) algorithm described in this paper was designed to identify recurring sedentary periods using data from an activity tracker, summarise the sedentary periods and pinpoint notification times at which the user should be motivated to get some movement. The outcome of the RSPD algorithm was validated using data from a 10-week period of one typical office worker. Our results show that the RSPD algorithm could correctly identify the recurring sedentary periods, compute fitting daily summaries and pinpoint the notification times correctly. With minor differences, the RSPD algorithm was successfully implemented in the healthyMe smartphone applicati
on, one of the supporting services of the SMARTWORK project. Within the healthyMe application, an embodied virtual agent is used to communicate the daily summaries and motivate the user to move more at the identified notification times. Pilots planned as part of the SMARTWORK project will evaluate whether the RSPD algorithm helps to motivate office workers to break up sedentary periods.
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