Proceedings of the 6th ACM conference on Embedded network sensor systems
Human Activity Recognizer for Mobile Devices with Multiple Sensors
UIC-ATC '09 Proceedings of the 2009 Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing
A real-time living activity recognition system using off-the-shelf sensors on a mobile phone
CONTEXT'11 Proceedings of the 7th international and interdisciplinary conference on Modeling and using context
Object-based activity recognition with heterogeneous sensors on wrist
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
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It is increasingly important to recognize daily activity pattern in order to detect early sign of dementia in the aging society. This paper shows indoor-outdoor activity recognition using only a smartphone. We developed an indoor living activity recognition engine and an outdoor migration activity recognition engine, and combined them into an Android™ application. The former recognizes not only "resting" or "walking" but also user's various living activities such as "vacuuming" and "brushing teeth" by using a built-in accelerometer and a built-in microphone. The latter engine recognizes the user's means of migration, namely, "resting," "walking," "running," and "boarding" by using a built-in accelerometer. It enables users to continuously recognize indoor-outdoor activities by switching between the two engines depending on an acquisition condition of GPS satellites.