Opportunistic human activity and context recognition
نویسندگان
چکیده
منابع مشابه
Sensor Abstractions for Opportunistic Activity and Context Recognition Systems
Pervasive environments are inherently characterized to draw from sensor infrastructures in order to become situation aware. Very recent technological evolutions of sensor hardware (e.g. for geoposition, acceleration, orientation, noise, light, humidity, chemical properties, etc.) have fertilized an explosive growth of sensor infrastructures, introducing whole new challenges for sensor software ...
متن کاملA Framework for Opportunistic Activity and Context Recognition
Opportunistic activity and context recognition systems draw from the characteristic to use sensing devices that just happen to be available rather than pre-defining a fixed sensor infrastructure at design time. Opportunistic sensing offers the possibility to obtain data from sensors that just happen to be available in the area surrounding the user. This enables users or applications to state re...
متن کاملTowards a Framework for opportunistic Activity and Context Recognition
Due to recent advancements in the development of sensor devices which results in increasing mobility and computing power and decreasing size and costs, this paper presents two features for a sensor-based opportunistic activity and context recognition enabling framework. Opportunistic in this context means that no sensor infrastructure has to be predefined at the design time of the system, it ra...
متن کاملOn the Utilization of Heterogeneous Sensors and System Adaptability for Opportunistic Activity and Context Recognition
Opportunistic activity and context recognition systems draw from the characteristic to utilize sensors as they happen to be available instead of predefining a fixed sensing infrastructure at design time of the system. Thus, the kinds and modalities of sensors are not predefined. Sensors of different types and working characteristics shall be used equally if the delivered environmental quantity ...
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ژورنال
عنوان ژورنال: Computer
سال: 2013
ISSN: 0018-9162
DOI: 10.1109/mc.2012.393