Smart micro sensors with RF transmitter for intelligent human sensing system

2006 ◽  
Author(s):  
Jong-Wan Kim ◽  
T. Ichikawa ◽  
H. Takao ◽  
K. Sawada ◽  
M. Ishida
Keyword(s):  
Sensing System ◽  
Rf Transmitter ◽  
Human Sensing

Development of an autonomous human-sensing system with MEMS devices

2011 ◽  
Author(s):  
Takayuki Fujita ◽  
Kazusuke Maenaka ◽  
Sayaka Okochi ◽  
Katsuhisa Yamamoto ◽  
Kohei Higuchi
Keyword(s):  
Mems Devices ◽  
Sensing System ◽  
Human Sensing

scholarly journals Implementation and Evaluation of a Wide-Range Human-Sensing System Based on Cooperating Multiple Range Image Sensors

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1172 ◽  
Author(s):  
Mikihiro Tokuoka ◽  
Naoki Komiya ◽  
Hiroshi Mizoguchi ◽  
Ryohei Egusa ◽  
Shigenori Inagaki ◽  
...  
Keyword(s):  
Science Education ◽  
Time Synchronization ◽  
Image Sensors ◽  
Range Image ◽  
Learning Method ◽  
Important Place ◽  
Multiple Sensors ◽  
Sensing System ◽  
Wide Range ◽  
Human Sensing

A museum is an important place for science education for children. The learning method in the museum is reading exhibits and explanations. Museums are investing efforts to quantify interests using questionnaires and sensors to improve their exhibitions and explanations. Therefore, even in places where many people gather, such as in museums, it is necessary to quantify people’s interest by sensing behavior of multiple people. However, this has not yet been realized. We aim to quantify the interest by sensing a wide range of human behavior for multiple people by coordinating multiple noncontact sensors. When coordinating multiple sensors, the coordinates and the time of each sensor differ. To solve these problems, coordinates were transformed using a simultaneous transformation matrix and time synchronization was performed using unified time. The effectiveness of this proposal was verified through experimental evaluation. Furthermore, we evaluated the actual museum content. In this paper, we describe the proposed method and the results of the evaluation experiment.

scholarly journals Tactile sensing biohybrid soft E-skin based on bioimpedance using aloe vera pulp tissues

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mostafa A. Mousa ◽  
MennaAllah Soliman ◽  
Mahmood A. Saleh ◽  
Ahmed G. Radwan
Keyword(s):  
Human Skin ◽  
Aloe Vera ◽  
Skin Surface ◽  
Biological Tissues ◽  
Tactile Sensing ◽  
Soft Robots ◽  
Sensing System ◽  
Human Sensing ◽  
Morphological Computation ◽  
The Brain

AbstractSoft and flexible E-skin advances are a subset of soft robotics field where the soft morphology of human skin is mimicked. The number of prototypes that conformed the use of biological tissues within the structure of soft robots—to develop “Biohybrid Soft Robots”—has increased in the last decade. However, no research was conducted to realize Biohybrid E-skin. In this paper, a novel biohybrid E-skin that provides tactile sensing is developed. The biohybrid E-skin highly mimics the human skin softness and morphology and can sense forces as low as 0.01 newton . The tactile sensing feature is augmented through the use of Aloe Vera pulp, embedded in underlying channel, where the change in its bioimpedance is related to the amount of force exerted on the E-skin surface. The biohybrid E-skin employs high biomimicry as the sensorial output is an oscillating signal similar to signals sent from the human sensing neurons to the brain. After investigating different channel geometries, types of filling tissues, and usage of two silicone materials, their frequency-force behaviour is modelled mathematically. Finally, a functional multichannel prototype “ImpEdded Skin” is developed. This prototype could efficiently detect the position of a tactile touch. This work employs the development of discrete sensing system that exhibits morphological computation that consequently enhances performance.

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