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

## TL;DR

This paper proposes a method for classifying smart environment scenarios by recognizing wearable devices through wireless signals like Wi-Fi and Bluetooth, enhancing person recognition in smart environments.

## Contribution

It introduces a novel approach to identify and re-identify wearable devices via wireless communication analysis for scenario classification.

## Key findings

- Wireless connectivity can be used for person recognition.
- Scenario classification improves with wireless signal analysis.
- Wearable device identification is feasible through Wi-Fi and Bluetooth signals.

## Abstract

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.

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Source: https://tomesphere.com/paper/1706.04427