Dsouza, Elvis;
Chetty, Kevin;
Vishwakarma, Shelly;
(2024)
RF-Pointer: a Novel Approach to Radio-Frequency Driven Pointer Technology for HCI.
In:
Proceedings of the IEEE Radar Conference 2024.
(pp. pp. 1-6).
Institute of Electrical and Electronics Engineers (IEEE)
(In press).
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Abstract
This paper introduces the ”RF-Pointer,” an innovative radio-frequency-based interaction framework designed for real-time tracking and projection of hand movements in virtual spaces. The system can provide a hands-free and distinctive interaction experience suitable for emerging domains like virtual reality and augmented reality. In this study, we delve into the architectural and operational dynamics of the RF-Pointer, utilizing a prototype equipped with a 77 GHz radar sensor. Initial tests reveal an average error of 2.5 cm in estimating the pointer’s location. To further illustrate the efficacy of the proposed architecture, we conduct a qualitative comparison with ground truth pointer location data, presenting the results in the form of tracked trajectories corresponding to both ground truth and the RF-Pointer estimated trajectories. The tracking results demonstrate that RF-Pointer trajectories closely align with ground truth trajectories. Consequently, these findings underscore the potential for improved accuracy through expanded data training, positioning the RF-Pointer as a significant advancement with the capability to transform interactive technology
Type: | Proceedings paper |
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Title: | RF-Pointer: a Novel Approach to Radio-Frequency Driven Pointer Technology for HCI |
Event: | 2024 IEEE Radar Conference (RadarConf24) |
Location: | Denver, CO, USA |
Dates: | 6th-10th May 2024 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://ieeexplore.ieee.org/Xplore/home.jsp |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
Keywords: | Radar, Continuous Gesture Recognition, Human-Computer Interaction, Millimeter-Wave Radar, Privacy-Preserving HCI, Virtual Reality |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10186303 |
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