HCJun 14, 2017

Classification of Smart Environment Scenarios in combination with a Human-Wearable-Environment-Communication using wireless connectivity

arXiv:1706.04427v12 citations
Originality Synthesis-oriented
AI Analysis

This addresses person recognition for smart environment applications, but it appears incremental as it builds on existing wireless communication methods.

The paper tackles the problem of person recognition and re-recognition in smart environments by identifying and re-identifying wearable devices through their wireless connectivity like Wi-Fi and Bluetooth, resulting in a classification of interaction scenarios for human-wearable-environment combinations.

The development of computer technology has been rapid. Not so long ago, the first computer was developed which was large and bulky. Now, the latest generation of smartphones has a calculation power, which would have been considered those of supercomputers in 1990. For a smart environment, the person recognition and re-recognition is an important topic. The distribution of new technologies like wearable computing is a new approach to the field of person recognition and re-recognition. This article lays out the idea of identifying and re-identifying wearable computing devices by listening to their wireless communication connectivity like Wi-Fi and Bluetooth and building a classification of interaction scenarios for the combination of human-wearable-environment.

Foundations

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