Gesture recognition application with Parametric Hidden Markov Model for activity-based personalized service in APRiME

The paper introduces an approach to automatically recognize people's activity patterns within an "intelligent" building. We envisage a model of interactions with a smart phone and building. Various sensors in smart phone enable to recognize daily routine of people's activities au...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	KyoJoong Oh, Young-Seob Jeong, Sung-Suk Kim, Ho-Jin Choi
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accelerometers Character recognition Context Context Modeling Context-aware services Gesture recognition Hidden Markov Model Hidden Markov models Intelligent sensors Pattern recognition Smart phones
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