Sensorized elements of a typical household in behavioral studies and prediction of a health setback

Augustyniak, Piotr

doi:10.1109/hsi.2015.7170676

Cited by 4 publications

(1 citation statement)

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“…Proper instrumentation and interpretation software enable detecting particular events and classifying human behavior in several categories of risk. Extending this scope leads to a continuous predict-and-verify scenario, where the detection of unexpected behavior provides signs of possible health setbacks [ 49 ]. In that previous research, the information of the currently identified pose was not utilized to improve the sensing performance of the current state nor prepare the sensing system for the most probable subject pose.…”

Section: State-of-the-artmentioning

confidence: 99%

Assisted Living System with Adaptive Sensor’s Contribution

Smoleń

Augustyniak

2020

Sensors

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Multimodal sensing and data processing have become a common approach in modern assisted living systems. This is widely justified by the complementary properties of sensors based on different sensing paradigms. However, all previous proposals assume data fusion to be made based on fixed criteria. We proved that particular sensors show different performance depending on the subject’s activity and consequently present the concept of an adaptive sensor’s contribution. In the proposed prototype architecture, the sensor information is first unified and then modulated to prefer the most reliable sensors. We also take into consideration the dynamics of the subject’s behavior and propose two algorithms for the adaptation of sensors’ contribution, and discuss their advantages and limitations based on case studies.

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Section: State-of-the-artmentioning

confidence: 99%