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The high resolution Electrical Impedance Tomograph (EIT) project is provided for academic and non-commercial research. This project is based on our publication at ACM UIST 2016: https://dl.acm.org/doi/abs/10.1145/2984511.2984574

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High-Resolution-EIT

The high resolution Electrical Impedance Tomograph (EIT) project is provided for academic and non-commercial research. This project is based on our publication at ACM UIST 2016: https://dl.acm.org/doi/abs/10.1145/2984511.2984574

ACM Ref

Yang Zhang, Robert Xiao, and Chris Harrison. 2016. Advancing Hand Gesture Recognition with High Resolution Electrical Impedance Tomography. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology (UIST '16). Association for Computing Machinery, New York, NY, USA, 843–850. DOI:https://doi.org/10.1145/2984511.2984574

BibTex

@inproceedings{10.1145/2984511.2984574,
author = {Zhang, Yang and Xiao, Robert and Harrison, Chris},
title = {Advancing Hand Gesture Recognition with High Resolution Electrical Impedance Tomography},
year = {2016},
isbn = {9781450341899},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2984511.2984574},
doi = {10.1145/2984511.2984574},
abstract = {Electrical Impedance Tomography (EIT) was recently employed in the HCI domain to detect hand gestures using an instrumented smartwatch. This prior work demonstrated great promise for non-invasive, high accuracy recognition of gestures for interactive control. We introduce a new system that offers improved sampling speed and resolution. In turn, this enables superior interior reconstruction and gesture recognition. More importantly, we use our new system as a vehicle for experimentation ' we compare two EIT sensing methods and three different electrode resolutions. Results from in-depth empirical evaluations and a user study shed light on the future feasibility of EIT for sensing human input.},
booktitle = {Proceedings of the 29th Annual Symposium on User Interface Software and Technology},
pages = {843–850},
numpages = {8},
keywords = {hand gestures, eit, electrical impedance tomography, biometrics, smartwatch, bio-impedance, input},
location = {Tokyo, Japan},
series = {UIST '16}
}

Contact

For interests in commercialization, please reach out to CMU CTTEC for details at [email protected]

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The high resolution Electrical Impedance Tomograph (EIT) project is provided for academic and non-commercial research. This project is based on our publication at ACM UIST 2016: https://dl.acm.org/doi/abs/10.1145/2984511.2984574

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