Dual sensing signal decoupling based on tellurium anisotropy for VR interaction and neuro-reflex system application

Linlin Li, Shufang Zhao, Wenhao Ran, Zhexin Li, Yongxu Yan, Bowen Zhong, Zheng Lou, Lili Wang () and Guozhen Shen ()
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Linlin Li: Chinese Academy of Sciences
Shufang Zhao: Chinese Academy of Sciences
Wenhao Ran: Chinese Academy of Sciences
Zhexin Li: Chinese Academy of Sciences
Yongxu Yan: Chinese Academy of Sciences
Bowen Zhong: Chinese Academy of Sciences
Zheng Lou: Chinese Academy of Sciences
Lili Wang: Chinese Academy of Sciences
Guozhen Shen: Beijing Institute of Technology

Nature Communications, 2022, vol. 13, issue 1, 1-12

Abstract: Abstract Anisotropy control of the electronic structure in inorganic semiconductors is an important step in developing devices endowed with multi-function. Here, we demonstrate that the intrinsic anisotropy of tellurium nanowires can be used to modulate the electronic structure and piezoelectric polarization and decouple pressure and temperature difference signals, and realize VR interaction and neuro-reflex applications. The architecture design of the device combined with self-locking effect can eliminate dependence on displacement, enabling a single device to determine the hardness and thermal conductivity of materials through a simple touch. We used a bimodal Te-based sensor to develop a wearable glove for endowing real objects to the virtual world, which greatly improves VR somatosensory feedback. In addition, we successfully achieved stimulus recognition and neural-reflex in a rabbit sciatic nerve model by integrating the sensor signals using a deep learning technique. In view of in-/ex-vivo feasibility, the bimodal Te-based sensor would be considered a novel sensing platform for a wide range application of metaverse, AI robot, and electronic medicine.

Date: 2022
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DOI: 10.1038/s41467-022-33716-9

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