2014/11/19 by Rajalakshmi Nandakumar, Nandakumar, Rajalakshmi, Bryce Kellogg +3
Computer Science · Engineering · #FOS: Computer and information sciences #Gait Recognition and Analysis #Hand Gesture Recognition Systems #Human-Computer Interaction (cs.HC) #Indoor and Outdoor Localization Technologies
paper · pdf · doi:10.48550/arxiv.1411.5394
openalex publication_date 2014/11/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper introduces the first wireless gesture recognition system that operates using existingWi-Fi signals and devices. To achieve this, we first identify limitations of existing wireless gesture recognition approaches that limit their applicability to Wi-Fi. We then introduce algorithms that can classify gestures using information that is readily available on Wi-Fi devices. We demonstrate the feasibility of our design using a prototype implementation on off-the-shelf Wi-Fi devices. Our results show that we can achieve a classification accuracy of 91% while classifying four gestures across six participants, without the need for per-participant training. Finally, we show the feasibility of gesture recognition in non-line-ofsight situations with the participants interacting with a Wi-Fi device placed in a backpack.