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Real-Time User Identification and Behavior Prediction Based on Foot-Pad Recognition.

Kuk Ho Heo¹, Seol Young Jeong¹, Soon Ju Kang²

¹School of Electronics Engineering, College of IT Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 702-701, Korea.

Sensors (Basel, Switzerland)

|July 3, 2019

Summary

This study introduces a novel foot pressure analysis method for real-time user recognition in smart homes. It overcomes limitations of existing systems by using unique foot pressure characteristics for accurate, device-free identification.

Keywords:

IoT Smart Home real-time identification user and behavior recognition

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Area of Science:

Computer Science
Human-Computer Interaction
Biometrics

Background:

Accurate user recognition is crucial for Internet of Things (IoT)-based smart homes.
Existing methods like image recognition and biometrics have limitations, including required user actions or specific device ownership.
Centralized IoT systems struggle with real-time determinism and high accuracy.

Purpose of the Study:

To propose a novel, real-time user recognition method for smart homes.
To overcome the limitations of existing user identification technologies.
To leverage foot pressure characteristics for non-intrusive and accurate user identification.

Main Methods:

A preprocessing algorithm is used to determine and generalize foot pressure angles.
Nine distinct features are extracted from the generalized foot pressure data.
These features are utilized in various user-recognition algorithms for evaluation.

Main Results:

The proposed method demonstrates effective real-time user recognition based on foot pressure.
Combining specific preprocessing and recognition algorithms yields promising performance.
The system successfully distinguishes individuals through unique foot pressure patterns.

Conclusions:

Foot pressure analysis offers a viable alternative for user recognition in smart home environments.
The developed method provides a device-free and accurate approach to identifying individuals.
This technology enhances the security and personalization of IoT-based smart homes.