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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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 |
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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 |
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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. |
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MA, Dong WU, Yuezhong DING, Ming HASSAN, Mahbub HU, Wen |
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MA, Dong WU, Yuezhong DING, Ming HASSAN, Mahbub HU, Wen |
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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 |
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Skin-MIMO: Vibration-based MIMO communication over human skin |
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Skin-MIMO: Vibration-based MIMO communication over human skin |
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skin-mimo: vibration-based mimo communication over human skin |
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Institutional Knowledge at Singapore Management University |
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2020 |
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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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