Skin-MIMO: Vibration-based MIMO communication over human skin

We explore the feasibility of Multiple-Input-Multiple-Output (MIMO) communication through vibrations over human skin. Using off-the-shelf motors and piezo transducers as vibration transmitters and receivers, respectively, we build a 2x2 MIMO testbed to collect and analyze vibration signals from real...

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Main Authors: MA, Dong, WU, Yuezhong, DING, Ming, HASSAN, Mahbub, HU, Wen
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Language:English
Published: Institutional Knowledge at Singapore Management University 2020
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Online Access:https://ink.library.smu.edu.sg/sis_research/7009
https://ink.library.smu.edu.sg/context/sis_research/article/8012/viewcontent/2001.11574.pdf
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spelling sg-smu-ink.sis_research-80122022-03-17T15:11:24Z Skin-MIMO: Vibration-based MIMO communication over human skin MA, Dong WU, Yuezhong DING, Ming HASSAN, Mahbub HU, Wen We explore the feasibility of Multiple-Input-Multiple-Output (MIMO) communication through vibrations over human skin. Using off-the-shelf motors and piezo transducers as vibration transmitters and receivers, respectively, we build a 2x2 MIMO testbed to collect and analyze vibration signals from real subjects. Our analysis reveals that there exist multiple independent vibration channels between a pair of transmitter and receiver, confirming the feasibility of MIMO. Unfortunately, the slow ramping of mechanical motors and rapidly changing skin channels make it impractical for conventional channel sounding based channel state information (CSI) acquisition, which is critical for achieving MIMO capacity gains. To solve this problem, we propose Skin-MIMO, a deep learning based CSI acquisition technique to accurately predict CSI entirely based on inertial sensor (accelerometer and gyroscope) measurements at the transmitter, thus obviating the need for channel sounding. Based on experimental vibration data, we show that Skin-MIMO can improve MIMO capacity by a factor of 2.3 compared to Single-Input-Single-Output (SISO) or open-loop MIMO, which do not have access to CSI. A surprising finding is that gyroscope, which measures the angular velocity, is found to be superior in predicting skin vibrations than accelerometer, which measures linear acceleration and used widely in previous research for vibration communications over solid objects. 2020-07-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/7009 info:doi/10.1109/infocom41043.2020.9155298 https://ink.library.smu.edu.sg/context/sis_research/article/8012/viewcontent/2001.11574.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Vibration Communication Wearable Computing Body Area Networking MIMO Artificial Intelligence and Robotics Digital Communications and Networking
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Vibration Communication
Wearable Computing
Body Area Networking
MIMO
Artificial Intelligence and Robotics
Digital Communications and Networking
spellingShingle Vibration Communication
Wearable Computing
Body Area Networking
MIMO
Artificial Intelligence and Robotics
Digital Communications and Networking
MA, Dong
WU, Yuezhong
DING, Ming
HASSAN, Mahbub
HU, Wen
Skin-MIMO: Vibration-based MIMO communication over human skin
description We explore the feasibility of Multiple-Input-Multiple-Output (MIMO) communication through vibrations over human skin. Using off-the-shelf motors and piezo transducers as vibration transmitters and receivers, respectively, we build a 2x2 MIMO testbed to collect and analyze vibration signals from real subjects. Our analysis reveals that there exist multiple independent vibration channels between a pair of transmitter and receiver, confirming the feasibility of MIMO. Unfortunately, the slow ramping of mechanical motors and rapidly changing skin channels make it impractical for conventional channel sounding based channel state information (CSI) acquisition, which is critical for achieving MIMO capacity gains. To solve this problem, we propose Skin-MIMO, a deep learning based CSI acquisition technique to accurately predict CSI entirely based on inertial sensor (accelerometer and gyroscope) measurements at the transmitter, thus obviating the need for channel sounding. Based on experimental vibration data, we show that Skin-MIMO can improve MIMO capacity by a factor of 2.3 compared to Single-Input-Single-Output (SISO) or open-loop MIMO, which do not have access to CSI. A surprising finding is that gyroscope, which measures the angular velocity, is found to be superior in predicting skin vibrations than accelerometer, which measures linear acceleration and used widely in previous research for vibration communications over solid objects.
format text
author MA, Dong
WU, Yuezhong
DING, Ming
HASSAN, Mahbub
HU, Wen
author_facet MA, Dong
WU, Yuezhong
DING, Ming
HASSAN, Mahbub
HU, Wen
author_sort MA, Dong
title Skin-MIMO: Vibration-based MIMO communication over human skin
title_short Skin-MIMO: Vibration-based MIMO communication over human skin
title_full Skin-MIMO: Vibration-based MIMO communication over human skin
title_fullStr Skin-MIMO: Vibration-based MIMO communication over human skin
title_full_unstemmed Skin-MIMO: Vibration-based MIMO communication over human skin
title_sort skin-mimo: vibration-based mimo communication over human skin
publisher Institutional Knowledge at Singapore Management University
publishDate 2020
url https://ink.library.smu.edu.sg/sis_research/7009
https://ink.library.smu.edu.sg/context/sis_research/article/8012/viewcontent/2001.11574.pdf
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