An Ultrasound Body Area Network for Arm Gesture Recognition

Eugen Pfann; Mario Huemer

doi:10.1109/ICECS49266.2020.9294835

An Ultrasound Body Area Network for Arm Gesture Recognition

Eugen Pfann
, Mario Huemer

Institute of Signal Processing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

This contribution describes the concept and implementation of a wearable arm gesture recognition system. The system relies on an ultrasound body area network for communication and to enable distance measurements between torso and arms. The network nodes use new capacitive micromachined ultrasonic transducer technology. The operation and performance is shown with the help of a real time demonstrator system.

Original language	English
Title of host publication	Proceedings of the IEEE International Conference on Electronics, Circuits and Systems (ICECS 2020)
Publisher	IEEE
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781728160443
ISBN (Print)	978-1-7281-6045-0
DOIs	https://doi.org/10.1109/ICECS49266.2020.9294835
Publication status	Published - 23 Nov 2020

Publication series

Name	27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)

Fields of science

202017 Embedded systems
202036 Sensor systems
202040 Transmission technology
202 Electrical Engineering, Electronics, Information Engineering
202015 Electronics
202022 Information technology
202028 Microelectronics
202030 Communication engineering
202034 Control engineering
202037 Signal processing

JKU Focus areas

Digital Transformation

Access to Document

10.1109/ICECS49266.2020.9294835

Cite this

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title = "An Ultrasound Body Area Network for Arm Gesture Recognition",

abstract = "This contribution describes the concept and implementation of a wearable arm gesture recognition system. The system relies on an ultrasound body area network for communication and to enable distance measurements between torso and arms. The network nodes use new capacitive micromachined ultrasonic transducer technology. The operation and performance is shown with the help of a real time demonstrator system.",

author = "Eugen Pfann and Mario Huemer",

year = "2020",

month = nov,

day = "23",

doi = "10.1109/ICECS49266.2020.9294835",

language = "English",

isbn = "978-1-7281-6045-0",

series = "27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)",

publisher = "IEEE",

pages = "1--4",

booktitle = "Proceedings of the IEEE International Conference on Electronics, Circuits and Systems (ICECS 2020)",

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An Ultrasound Body Area Network for Arm Gesture Recognition. / Pfann, Eugen; Huemer, Mario.
Proceedings of the IEEE International Conference on Electronics, Circuits and Systems (ICECS 2020). IEEE, 2020. p. 1-4 9294835 (27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

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AU - Huemer, Mario

PY - 2020/11/23

Y1 - 2020/11/23

N2 - This contribution describes the concept and implementation of a wearable arm gesture recognition system. The system relies on an ultrasound body area network for communication and to enable distance measurements between torso and arms. The network nodes use new capacitive micromachined ultrasonic transducer technology. The operation and performance is shown with the help of a real time demonstrator system.

AB - This contribution describes the concept and implementation of a wearable arm gesture recognition system. The system relies on an ultrasound body area network for communication and to enable distance measurements between torso and arms. The network nodes use new capacitive micromachined ultrasonic transducer technology. The operation and performance is shown with the help of a real time demonstrator system.

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DO - 10.1109/ICECS49266.2020.9294835

M3 - Conference proceedings

SN - 978-1-7281-6045-0

T3 - 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)

SP - 1

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BT - Proceedings of the IEEE International Conference on Electronics, Circuits and Systems (ICECS 2020)

PB - IEEE

ER -

An Ultrasound Body Area Network for Arm Gesture Recognition

Abstract

Publication series

Fields of science

JKU Focus areas

Access to Document

Other files and links

SILENSE - (Ultra)Sound Interfaces and Low Energy iNtegrated SEnsors

Cite this

An Ultrasound Body Area Network for Arm Gesture Recognition

Abstract

Publication series

Fields of science

JKU Focus areas

Access to Document

Other files and links

Projects

SILENSE - (Ultra)Sound Interfaces and Low Energy iNtegrated SEnsors

Cite this