Leveraging the Properties of mmWave Signals for 3D Finger Motion Tracking for Interactive IoT Applications

Author:

Liu Yilin1ORCID,Zhang Shijia1ORCID,Gowda Mahanth1ORCID,Nelakuditi Srihari2ORCID

Affiliation:

1. The Pennsylvania State University, State College, PA, USA

2. University of South Carolina, Columbia, SC, USA

Funder

National Science Foundation

Publisher

ACM

Reference17 articles.

1. Iwr6843isk. https://www.ti.com/tool/IWR6843ISK. Iwr6843isk. https://www.ti.com/tool/IWR6843ISK.

2. mm4arm demo video. https://www.dropbox.com/s/j14oh4udhaxqa05/ mm4Arm_demo.mp4?dl=0. mm4arm demo video. https://www.dropbox.com/s/j14oh4udhaxqa05/ mm4Arm_demo.mp4?dl=0.

3. Adib , F. , Hsu , C.-Y. , Mao , H. , Katabi , D. , and Durand , F . Capturing the human figure through a wall. ACM Transactions on Graphics (TOG) 34, 6 ( 2015 ), 1--13. Adib, F., Hsu, C.-Y., Mao, H., Katabi, D., and Durand, F. Capturing the human figure through a wall. ACM Transactions on Graphics (TOG) 34, 6 (2015), 1--13.

4. An , S. , and Ogras , U. Y . Mars: mmwave-based assistive rehabilitation system for smart healthcare. ACM Transactions on Embedded Computing Systems (TECS) 20, 5s ( 2021 ), 1--22. An, S., and Ogras, U. Y. Mars: mmwave-based assistive rehabilitation system for smart healthcare. ACM Transactions on Embedded Computing Systems (TECS) 20, 5s (2021), 1--22.

5. Pointillism

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