mm-Wave Radar Based Gesture Recognition

Patra, Avishek; Geuer, Philipp; Munari, Andrea; Mähönen, Petri

doi:10.1145/3264492.3264501

Cited by 22 publications

(2 citation statements)

References 15 publications

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“…Radar-detected gestures can range from basic presence and proximity detection to multitouch gestures or foot-based gestures [12], [13], [6]. Studies on radar device interactions suggest various sets of gestures, some focusing on hand gestures [14], [15] while others advocate interactions that involve the whole body [16]. These examples highlight that radar device interactions typically involve the upper body, as detailed by S , iean et al [1].…”

Section: Introductionmentioning

confidence: 99%

SkySculptor: Intuitive Drone Control Through Ground-Integrated Radar and Foot Gestures in Smart Indoor Environments

Siean

2024

IJACSA

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SkySculptor is a software application designed to optimize drone control in smart indoor environments. The primary focus is on using gesture input for drone control, particularly investigating mid-air free-foot interactions detected by radar sensing. This software application simplifies the process of controlling drones in smart indoor environments. Additionally, outcomes of utilizing a 15-antenna ultra-wideband 3D radar are presented, establishing a dictionary of six directional swipe gestures for controlling drone functions. Based on the findings of this research article, guidelines for the future development of software applications for drone control in intelligent indoor environments are proposed.

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Section: Introductionmentioning

confidence: 99%

SkySculptor: Intuitive Drone Control Through Ground-Integrated Radar and Foot Gestures in Smart Indoor Environments

Siean

2024

IJACSA

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“…Radio-Frequency (RF) sensing is transforming gesture recognition in Human-Computer Interaction (HCI), providing users with a natural and intuitive means of engaging with technology through nuanced movements [1]. Unlike traditional methods requiring direct interaction or visual cues, RF sensors excel in capturing and interpreting fine-grained human gestures from a distance, eliminating the need for direct contact or a clear line of sight.…”

Section: Introductionmentioning

confidence: 99%