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Open AccessProceedings ArticleDOI

Whole-home gesture recognition using wireless signals

TLDR
WiSee is presented, a novel gesture recognition system that leverages wireless signals (e.g., Wi-Fi) to enable whole-home sensing and recognition of human gestures and achieves this goal without requiring instrumentation of the human body with sensing devices.
Abstract
This paper presents WiSee, a novel gesture recognition system that leverages wireless signals (e.g., Wi-Fi) to enable whole-home sensing and recognition of human gestures. Since wireless signals do not require line-of-sight and can traverse through walls, WiSee can enable whole-home gesture recognition using few wireless sources. Further, it achieves this goal without requiring instrumentation of the human body with sensing devices. We implement a proof-of-concept prototype of WiSee using USRP-N210s and evaluate it in both an office environment and a two- bedroom apartment. Our results show that WiSee can identify and classify a set of nine gestures with an average accuracy of 94%.

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Proceedings ArticleDOI

Understanding and Modeling of WiFi Signal Based Human Activity Recognition

TL;DR: CARM is a CSI based human Activity Recognition and Monitoring system that quantitatively builds the correlation between CSI value dynamics and a specific human activity and recognizes a given activity by matching it to the best-fit profile.
Proceedings ArticleDOI

Challenges: device-free passive localization for wireless environments

TL;DR: This talk gives a holistic overview of the area of contact-free ambient sensing based on RF technology, highlighting how it evolved over a decade from binary-detection in controlled environments to commercial systems for border protection and smart homes.
Proceedings ArticleDOI

E-eyes: device-free location-oriented activity identification using fine-grained WiFi signatures

TL;DR: This paper presents device-free location-oriented activity identification at home through the use of existing WiFi access points and WiFi devices (e.g., desktops, thermostats, refrigerators, smartTVs, laptops) in a low-cost system that can uniquely identify both in-place activities and walking movements across a home by comparing them against signal profiles.
Journal ArticleDOI

WiFall: Device-Free Fall Detection by Wireless Networks

TL;DR: This work analyzes the wireless signal propagation model considering human activities influence and proposes a novel and truly unobtrusive detection method based on the advanced wireless technologies, which it is called as WiFall, which withdraws the need for hardware modification, environmental setup and worn or taken devices.
Journal ArticleDOI

Soli: ubiquitous gesture sensing with millimeter wave radar

TL;DR: It is demonstrated that Soli can be used for robust gesture recognition and can track gestures with sub-millimeter accuracy, running at over 10,000 frames per second on embedded hardware.
References
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Proceedings ArticleDOI

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Proceedings ArticleDOI

Indoor localization without the pain

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