Foot Gesture Recognition Using High-Compression Radar Signature Image and Deep Learning

Autor: Seungeon Song, Bongseok Kim, Sangdong Kim, Jonghun Lee

Publikováno v: Sensors, Vol 21, Iss 11, p 3937 (2021)

Recently, Doppler radar-based foot gesture recognition has attracted attention as a hands-free tool. Doppler radar-based recognition for various foot gestures is still very challenging. So far, no studies have yet dealt deeply with recognition of var

Externí odkaz: https://doaj.org/article/4b9b78d547c84a1586dadde94b581744

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Image Generation for 2D-CNN Using Time-Series Signal Features from Foot Gesture Applied to Select Cobot Operating Mode

Autor: Martin J.-D. Otis, Fadwa El Aswad, Johannes C. Ayena, Gilde Vanel Tchane Djogdom, Ramy Meziane

Publikováno v: Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 17
Sensors, Vol 21, Iss 5743, p 5743 (2021)

Advances in robotics are part of reducing the burden associated with manufacturing tasks in workers. For example, the cobot could be used as a “third-arm” during the assembling task. Thus, the necessity of designing new intuitive control modaliti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c5a2016557303d9f13db2175850157f
http://europepmc.org/articles/PMC8434500

A Discreet Wearable Long-Range Emergency System Based on Embedded Machine Learning

Autor: Rayen Bel Haj Hassen, Armando Kwiek, Charalampos Orfanidis, Martin Jacobsson, Xenofon Fafoutis

Publikováno v: Orfanidis, C, Hassen, R B H, Kwiek, A, Fafoutis, X & Jacobsson, M 2021, A Discreet Wearable Long-Range Emergency System Based on Embedded Machine Learning . in Proceedings of the 5 th IEEE PerCom Workshop on Pervasive Health Technologies . IEEE, 6 th IEEE PerCom Workshop on Pervasive Health Technologies, Kassel, Germany, 22/03/2020 .
PerCom Workshops

Low-Power Wide Area Networks have contributed in several parts of the Internet of Things ecosystem during the last years by enabling long range, robust and low power communication. Machine Learning for embedded systems has also assisted the advanceme

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8202593166bdac0b44592609c62f9458
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302017

Elicitation study investigating hand and foot gesture interaction for immersive maps in augmented reality

Autor: Barrett Ens, Bernhard Jenny, Christopher R. Austin, Kadek Ananta Satriadi

Immersive maps in augmented reality (AR) are virtual maps that plausibly blend with the physical environment, such that the user perceives them as a part of the real world. While immersive maps can offer unprecedented engaging experiences, the way to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e4eced3e24d8c2c2d434531413d0984
https://hdl.handle.net/11541.2/25438