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This disclosure describes techniques for replying to a message without requiring a user to physically interact with a device. The techniques of this disclosure utilize machine learning and radar-based sensing. Potential replies to incoming messages are provided as suggestions. A gesture made by the user to select one of the replies is recognized using radar-sensing, and the reply mapped to the recognized gesture is sent
The paper proposes a simple machine learning solution for hand-gesture classification, based on proc...
Microwave radar sensors in human-computer interactions have several advantages compared to wearable ...
This work was supported in part by ITEA3 Unleash Potentials in Simulation (UPSIM) by the German Fede...
Radar sensing technologies now offer new opportunities for gesturally interacting with a smart envir...
Radar sensing technologies now offer new opportunities for gesturally interacting with a smart envir...
Human Movement recognization or gesture recognization via mathematical algorithm is attracting great...
With the increasing threat of viruses to people in today's society, there is a growing expectation t...
The Singaporean government has declared the end of the acute phase of the COVID-19 pandemic, but the...
Microwave radars bring many benefits to mid-air gesture sensing due to their large field of view and...
This paper introduces a lightweight gesture recognition system based on 60 GHz frequency modulated c...
A system is described that enables a computing device (e.g., a mobile phone, a smartwatch, a tablet ...
Fast development of electronic device has spread the use of varies input technology. Along with the ...
Publisher Copyright: IEEE | openaire: EC/H2020/813999/EU//WINDMILLWe present Tesla-Rapture, a gestur...
Human gesture recognition is an emerging necessity of in the industry. How- ever, traditional Comput...
There have been several studies of hand gesture recognition for human–machine interfaces. In the ear...
The paper proposes a simple machine learning solution for hand-gesture classification, based on proc...
Microwave radar sensors in human-computer interactions have several advantages compared to wearable ...
This work was supported in part by ITEA3 Unleash Potentials in Simulation (UPSIM) by the German Fede...
Radar sensing technologies now offer new opportunities for gesturally interacting with a smart envir...
Radar sensing technologies now offer new opportunities for gesturally interacting with a smart envir...
Human Movement recognization or gesture recognization via mathematical algorithm is attracting great...
With the increasing threat of viruses to people in today's society, there is a growing expectation t...
The Singaporean government has declared the end of the acute phase of the COVID-19 pandemic, but the...
Microwave radars bring many benefits to mid-air gesture sensing due to their large field of view and...
This paper introduces a lightweight gesture recognition system based on 60 GHz frequency modulated c...
A system is described that enables a computing device (e.g., a mobile phone, a smartwatch, a tablet ...
Fast development of electronic device has spread the use of varies input technology. Along with the ...
Publisher Copyright: IEEE | openaire: EC/H2020/813999/EU//WINDMILLWe present Tesla-Rapture, a gestur...
Human gesture recognition is an emerging necessity of in the industry. How- ever, traditional Comput...
There have been several studies of hand gesture recognition for human–machine interfaces. In the ear...
The paper proposes a simple machine learning solution for hand-gesture classification, based on proc...
Microwave radar sensors in human-computer interactions have several advantages compared to wearable ...
This work was supported in part by ITEA3 Unleash Potentials in Simulation (UPSIM) by the German Fede...
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