Device-Free User Authentication, Activity Classification and Tracking using Passive Wi-Fi Sensing: A Deep Learning Based Approach
| Autor: | Hirunima Jayasekara, Vinoj Jayasundara, Kasun T. Hemachandra, Tharaka Samarasinghe |
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| Rok vydání: | 2019 |
| Předmět: |
Signal Processing (eess.SP)
FOS: Computer and information sciences Computer Science - Machine Learning Computer science Real-time computing Computer Science - Human-Computer Interaction Video camera Machine Learning (stat.ML) 01 natural sciences law.invention Machine Learning (cs.LG) Human-Computer Interaction (cs.HC) Activity recognition law Statistics - Machine Learning FOS: Electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Electrical Engineering and Systems Science - Signal Processing Instrumentation Authentication User profile business.industry Deep learning 010401 analytical chemistry 0104 chemical sciences Identification (information) Artificial intelligence business |
| DOI: | 10.48550/arxiv.1911.11743 |
| Popis: | Privacy issues related to video camera feeds have led to a growing need for suitable alternatives that provide functionalities such as user authentication, activity classification and tracking in a noninvasive manner. Existing infrastructure makes Wi-Fi a possible candidate, yet, utilizing traditional signal processing methods to extract information necessary to fully characterize an event by sensing weak ambient Wi-Fi signals is deemed to be challenging. This paper introduces a novel end to-end deep learning framework that simultaneously predicts the identity, activity and the location of a user to create user profiles similar to the information provided through a video camera. The system is fully autonomous and requires zero user intervention unlike systems that require user-initiated initialization, or a user held transmitting device to facilitate the prediction. The system can also predict the trajectory of the user by predicting the location of a user over consecutive time steps. The performance of the system is evaluated through experiments. |
| Databáze: | OpenAIRE |
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