High Security User Authentication Based on Piezoelectric Keystroke Dynamics Applying to Multiple Emotional Responses

Jia, Weichen; Qi, Yuqing; Huang, Anbiao; Zhou, Fuqiang; Gao, Shuo

doi:10.1109/jsen.2021.3136902

Cited by 2 publications

(2 citation statements)

References 43 publications

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Section: Machine Learning-enhanced P-hmismentioning

confidence: 99%

“…As depicted in Figure 6C, artificial skin usually consists of three layers: a sensing layer, a perception layer and an encapsulation layer [93] . Combined with machine learning, Chung et al successfully achieved object classification with a piezoelectric actuator-sensor pair [94] . When the robotic hand grasped the objects, the data obtained by the actuator-sensor pair was used as the input for machine learning after several preprocessing steps.…”

Section: Machine Learning-enhanced P-hmismentioning

confidence: 99%

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Recent progress in flexible piezoelectric devices toward human-machine interactions

2022

Soft Sci

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Human-machine interactions are becoming increasingly required for intelligent sensing and effective manipulation. Recent developments in flexible piezoelectric sensors with short response time and high force-electric interconversion efficiency present a tendency toward facilitating diverse human-machine interactive applications. Here, we review the development of flexible piezoelectric human-machine interactions in the context of robotic control, the Internet of Things, sports coaching and acoustic therapeutics. The synthesis of unique materials, the distinct design of device structures, the typical applications of piezoelectric human-machine interactions and the integration of cutting-edge technologies are elaborated in detail based on recent research. Finally, we highlight the current challenges and directions for the development of piezoelectric human-machine interactions for more advanced application scenarios.

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Section: Machine Learning-enhanced P-hmismentioning

confidence: 99%

Section: Machine Learning-enhanced P-hmismentioning

confidence: 99%