Piezoresistive Slot-Cantilever Type Accelerometer Inspired from Spider's Slit Sensilla

2011 ◽  
Vol 9 (4) ◽  
pp. 1309-1315 ◽  
Author(s):  
Yancheng Wang ◽  
Deqing Mei ◽  
Zichen Chen
Keyword(s):  
2006 ◽  
Vol 39 (10) ◽  
pp. 1761-1768 ◽  
Author(s):  
B. Hößl ◽  
H.J. Böhm ◽  
F.G. Rammerstorfer ◽  
R. Müllan ◽  
F.G. Barth

2009 ◽  
Vol 195 (9) ◽  
pp. 881-894 ◽  
Author(s):  
Bernhard Hößl ◽  
Helmut J. Böhm ◽  
Clemens F. Schaber ◽  
Franz G. Rammerstorfer ◽  
Friedrich G. Barth

1982 ◽  
Vol 148 (2) ◽  
pp. 187-194 ◽  
Author(s):  
Jochen Speck ◽  
Friedrich G. Barth

Research ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Shengshun Duan ◽  
Yucheng Lin ◽  
Zhehan Wang ◽  
Junyi Tang ◽  
Yinhui Li ◽  
...  

Reliable, wide range, and highly sensitive joint movement monitoring is essential for training activities, human behavior analysis, and human-machine interfaces. Yet, most current motion sensors work on the nano/microcracks induced by the tensile deformation on the convex surface of joints during joint movements, which cannot satisfy requirements of ultrawide detectable angle range, high angle sensitivity, conformability, and consistence under cyclic movements. In nature, scorpions sense small vibrations by allowing for compression strain conversion from external mechanical vibrations through crack-shaped slit sensilla. Here, we demonstrated that ultraconformal sensors based on controlled slit structures, inspired by the geometry of a scorpion’s slit sensilla, exhibit high sensitivity (0.45%deg-1), ultralow angle detection threshold (~15°), fast response/relaxation times (115/72 ms), wide range (15° ~120°), and durability (over 1000 cycles). Also, a user-friendly, hybrid sign language system has been developed to realize Chinese and American sign language recognition and feedback through video and speech broadcasts, making these conformal motion sensors promising candidates for joint movement monitoring in wearable electronics and robotics technology.


Zoomorphology ◽  
1984 ◽  
Vol 104 (4) ◽  
pp. 204-215 ◽  
Author(s):  
Friedrich G. Barth ◽  
Elmar Ficker ◽  
Hans-Ulrich Federle
Keyword(s):  

2007 ◽  
Vol 193 (5) ◽  
pp. 575-575
Author(s):  
Bernhard Hößl ◽  
Helmut J. Böhm ◽  
Franz G. Rammerstorfer ◽  
Friedrich G. Barth

2019 ◽  
Vol 16 (1) ◽  
pp. 76-87 ◽  
Author(s):  
Kejun Wang ◽  
Junqiu Zhang ◽  
Linpeng Liu ◽  
Daobing Chen ◽  
Honglie Song ◽  
...  
Keyword(s):  

2006 ◽  
Vol 193 (4) ◽  
pp. 445-459 ◽  
Author(s):  
Bernhard Hößl ◽  
Helmut J. Böhm ◽  
Franz G. Rammerstorfer ◽  
Friedrich G. Barth

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