摩尔斯代码识别基于灵活的触觉传感器与碳纳米管/聚氨海绵材料的长短期记忆模型
Feilu Wang1,2, Anyang Hu1, Yang Song1,2
1School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei 230601, China.
Micromachines
|July 27, 2024
概括
由碳纳米管和聚氨海绵复合材料制成的新型灵活触觉传感器准确地检测莫尔斯代码. 长期短期记忆 (LSTM) 模型实现了对字母和数字的高识别精度,优于其他机器学习模型.
科学领域:
- 材料科学 材料科学 材料科学
- 人与计算机的交互
- 机器学习 机器学习
背景情况:
- 摩尔斯码识别对于人机交互至关重要.
- 为复杂的信号检测开发精确的触觉传感器仍然是一个挑战.
研究的目的:
- 开发一款灵活的触觉传感器,用于准确识别摩尔斯代码.
- 为了评估长期短期记忆 (LSTM) 模型在解码莫尔斯码信号中的性能.
主要方法:
- 使用碳纳米管 (CNT) 和聚氨海绵 (PUS) 复合材料制造一个压电阻传感器.
- 收集了2160个电压时间序列信号,用于36种莫尔斯代码类型 (字母A-Z,数字0-9).
- 与GRU,SVM,MLP和RF模型相比,应用数据预处理 (平滑,规范化) 和LSTM模型用于莫尔斯码识别.
主要成果:
- 该CNT/PUS传感器准确地检测到摩尔斯密码的触觉特征.
- 该LSTM模型实现了高的识别精度:数字99.17%,字母95.37%,所有36种类型的识别精度为93.98%.
- 在摩尔斯码识别准确度方面,LSTM模型的表现优于GRU,SVM,MLP和RF模型.
结论:
- 开发的CNT/PUS传感器对于精确的莫尔斯代码检测是有效的.
- LSTM 模型在从触觉传感器数据中识别莫尔斯码信号方面表现出卓越的性能.
相关概念视频
Tactile and Chemical Senses
650
Tactile senses encompass touch, temperature, and pain, each mediated by specific receptors. Touch receptors detect mechanical energy or pressure against the skin. Sensory fibers from these receptors enter the spinal cord and relay information to the brain stem. Here, most fibers cross over to the opposite side of the brain. The touch information then moves to the thalamus, which projects a map of the body's surface onto the somatosensory areas of the parietal lobes in the cerebral cortex.
650
Design Example: Resistive Touchscreen
658
A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
When a user touches the screen, the two layers make contact at a specific point known as the touchpoint. This contact reduces the resistance between...
When a user touches the screen, the two layers make contact at a specific point known as the touchpoint. This contact reduces the resistance between...
658


