1.3 Working at the Intersection of Machine Learning, Signal Processing, Sensors, and Circuits

Wireless technologies have propelled major advances in various industries including telecommunications, entertainment, and smart environments. Today, radios are embedded in cellphones, wearable devices, sensors, and control systems. Yet, in all of these diverse domains, radios are used for communica...

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Bibliographic Details
Published in2021 IEEE International Solid- State Circuits Conference (ISSCC) Vol. 64; pp. 26 - 29
Main Author Katabi, Dina
Format Conference Proceeding
LanguageEnglish
Published IEEE 13.02.2021
Subjects
Intelligent sensors
Technological innovation
Telecommunications
Wearable computers
Wearable sensors
Wireless communication
Wireless sensor networks
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Summary:Wireless technologies have propelled major advances in various industries including telecommunications, entertainment, and smart environments. Today, radios are embedded in cellphones, wearable devices, sensors, and control systems. Yet, in all of these diverse domains, radios are used for communications. Even when embedded in a sensor, the radio signals are used for communicating the sensed data, rather than performing the sensing function. We argue that future innovations should leverage radio signals for sensing. Radio signals are fascinating creatures: they travel in space, traverse walls and occlusions, and reflect off people and objects. The reflected signals are modulated by people's movements, actions, respiration, and heart beats. By analyzing such radio reflections, we can learn much information about people and their physiological signals, and leverage such knowledge to enable new capabilities and novel applications.
ISSN:2376-8606
DOI:10.1109/ISSCC42613.2021.9365938