2012 · 37 citations · 2 references
ComputingGeriatric MedicineDementiaMobile ComputingSensor FusionAction RecognitionActivity PatternsMobile Health ApplicationsMobile Human-computer InteractionMobile SensingWearable Health TechnologiesAccelerometer SensorsActivity MonitoringActivity RecognitionBrushingHuman Activity RecognitionMovement RecognitionUser Activity RecognitionWearable Sensing
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.
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Sensing meets mobile social networks
Emiliano Miluzzo, Nicholas D. Lane, Kristóf Fodor et al. · 2008 · 1K citations
Human Activity Recognizer for Mobile Devices with Multiple Sensors
Kenta Cho, Naoki Iketani, Hisao Setoguchi et al. · 2009 · 19 citations