Anzeige
Erschienen in:
2017 | OriginalPaper | Buchkapitel
WiSmart : Robust Human Access and Identification for Smart Homes Using WiFi Signals
verfasst von : Shangqing Liu, Yanchao Zhao, Bing Chen
Erschienen in: Cloud Computing and Security
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
In smart homes environment, the access and identification of different persons are key enabling technology to make personalized services or intrusion detection. However, most state-of-the-art systems require users to carry or wear dedicated devices which are not user-friendly. In this paper, we present WiSmart, a fine-grained device-free framework that can distinguish different actions and identify persons within a short duration using WiFi signal. The experiments show that we can achieve an average accuracy of human activity model up to 89.14% and human identification model greater than 85.6%.