Multimodal Sensors with Decoupled Sensing Mechanisms
Pennsylvania State University · Hebei University of Technology
Abstract
Highly sensitive and multimodal sensors have recently emerged for a wide range of applications, including epidermal electronics, robotics, health-monitoring devices and human-machine interfaces. However, cross-sensitivity prevents accurate measurements of the target input signals when a multiple of them are simultaneously present. Therefore, the selection of the multifunctional materials and the design of the sensor structures play a significant role in multimodal sensors with decoupled sensing mechanisms. Hence, this review article introduces varying methods to decouple different input signals for realizing truly multimodal sensors. Early efforts explore different outputs to distinguish the corresponding…
Citation impact
- FWCI
- 25.17
- Percentile
- 100%
- References
- 112
Authors
6Topics & keywords
- Computer science
- Robotics
- Artificial intelligence
- Decoupling (probability)
- Bioelectronics
- Signal processing
- SIGNAL (programming language)
- Electronics