fig1

Privacy-preserving gait biometrics via synchronous mechanical and bioelectrical co-sensing and ciphertext-domain inference

Figure 1. (A) Mechanism of sEMG signal generation; (B) Identity recognition with privacy protection based on mechanical and bioelectrical signals; (C) Expanded schematic representations of the device; (D) and (E) Schematic representations of the differences between the proposed gels and conventional gels in terms of mechanical and electrical properties. Note: the curves represent qualitative schematics intended to show performance trends. sEMG: Surface electromyography; AES: Advanced Encryption Standard; ByteEmbedded-TCN: ByteEmbedded Temporal Convolutional Network.

Soft Science
ISSN 2769-5441 (Online)

Portico

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Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/