“…There are a lot of approaches to be adopted as behavior detecting techniques, according to the way of signal acquisition three types can be distinguished [1]: Behavior detecting techniques based on videos, those based on acoustics and those based on wearable sensors. In the first techniques, those based on videos, the graphics about human motions are caught through PC camera and then image…”
Section: (1) Sensing Layermentioning
confidence: 99%
“…Thus, for an atomic state, an element sensor vector can be got and expressed as: (1) In addition, the smart phone is utilized to acquire the GPS data. And we take Android smart phone as an example, used as the Location Manager.…”
With rapid advances in wireless sensor networks and embedded computing technologies, various behaviour detection devices have arose and been applied in practical use for monitoring the situations of the elderly in order to ensure the safety of them. This paper aims to propose a behaviour detection system with a sensor board (iNEMO V2) and the iNEMO SDK (software development kit), which utilizes the accelerometer, micro-sensors, digital data processing as well as wireless technologies. The system practically simulates a real environment for the intended case.
“…There are a lot of approaches to be adopted as behavior detecting techniques, according to the way of signal acquisition three types can be distinguished [1]: Behavior detecting techniques based on videos, those based on acoustics and those based on wearable sensors. In the first techniques, those based on videos, the graphics about human motions are caught through PC camera and then image…”
Section: (1) Sensing Layermentioning
confidence: 99%
“…Thus, for an atomic state, an element sensor vector can be got and expressed as: (1) In addition, the smart phone is utilized to acquire the GPS data. And we take Android smart phone as an example, used as the Location Manager.…”
With rapid advances in wireless sensor networks and embedded computing technologies, various behaviour detection devices have arose and been applied in practical use for monitoring the situations of the elderly in order to ensure the safety of them. This paper aims to propose a behaviour detection system with a sensor board (iNEMO V2) and the iNEMO SDK (software development kit), which utilizes the accelerometer, micro-sensors, digital data processing as well as wireless technologies. The system practically simulates a real environment for the intended case.
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