Biomimetic fiber-based hybrid sensor for Multifunctional Pressure Sensing and human gesture identification via Deep Learning Method

• Main Authors: Miao-hua Syu, 徐妙華
• Other Authors: 李雄
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/ps6hw3

碩士 === 國立中央大學 === 機械工程學系 === 107 === Within this paper, Near-field electrospinning (NFES) technological employed to deposit your nano/micro fibers for the different starting, and a new nanogenerator (NG)/deformation sensor ended up being fabricated. Within this study, polyvinylidene fluoride (PVDF), a polymer product with substantial piezoelectric components, was lodged and properly arranged with a flexible substrate by direct-write process using near-field electrospinning technological and XY detail motion stage as being a piezoelectric nano-generator. One of the research use of flexible printed circuit board (PCB) to deposit piezoelectric fibers, in order to make the generator more efficient to collect mechanical energy, we applied Mytilidae nano-structured patterns on the surface of PDMS film via the soft transfer molding technique as electrostatic generator. We combined the and piezoelectric generator and biomimetic triboelectric generator as biomimetic hybrid self-powered sensors (BHSS). Furthermore, an intelligent glove and the force sensor with are successively confirmed that the developed BHSS has promising applications in wearable self-power sensor technology. The machine learning algorithm of Long Short-Term Memory (LSTM) in the context of gesture recognition was used and effectively distinguish five human actions satisfactorily. LSTM based real-time electrical signals of five gestures dataset with varying duration and complexity can achieve an overall classification rate of 82.3%. This paper also further studies the possibility of using nanogenerators made of P(VDF-TrFE) for wind energy collection, using the soft and flexible characteristics of nanogenerators to make wind energy generators and wind speed. Research related to output voltage, outdoor experiments and collection of ambient wind energy to assess the potential of wind energy generators and their electrical output. This wind power generator can continue to generate electricity (~2V) even at low wind speeds (~3.5 m / s).