Authors:
Kadian Davis
1
;
Evans Owusu
2
;
Carlo Regazzoni
3
;
Lucio Marcenaro
3
;
Loe Feijs
1
and
Jun Hu
1
Affiliations:
1
Eindhoven University of Technology, Netherlands
;
2
Independent Researcher, Netherlands
;
3
University of Genoa, Italy
Keyword(s):
Activity Recognition, Monitoring, Sensors, Smart-phone, Perception, Connectedness.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Human-Computer Interaction
;
Pattern Recognition
;
Pervasive Technologies
;
Physiological Computing Systems
;
Software Engineering
Abstract:
This position paper describes a smart-phone based activity recognition system for improving social connectedness between caregivers and their elderly relatives. Sensing technologies can enable real-time monitoring
to provide activity recognition in order to support health and safety among the elderly who are living independently. However, most existing activity recognition systems are focused on using sensors for unidirectional
monitoring of emergency cases in particular, fall detection. Motivated by the desire to utilize bidirectional
activity recognition to improve connectedness between an ageing population and their caregivers, we describe
our planned approach to investigate how the perception of a caregiver’s activities by a senior citizen and
vice versa can aid in improving social connectedness. To investigate this perception, activity states will be
transformed into an information visualization into the caregiver’s home and vice versa without overt communication from participan
ts. Findings are expected to provide further insight on the extent to which perception
of human activities increase social connectedness.
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