A traction stress sensor array for use in high-resolution robotic tactile imaging

2000 ◽  
Vol 9 (4) ◽  
pp. 425-434 ◽  
Author(s):  
B.J. Kane ◽  
M.R. Cutkosky ◽  
G.T.A. Kovacs
Keyword(s):  
High Resolution ◽  
Sensor Array ◽  
Stress Sensor ◽  
Tactile Imaging ◽  
Traction Stress

CMOS-compatible traction stress sensor for use in high-resolution tactile imaging

1996 ◽  
Vol 54 (1-3) ◽  
pp. 511-516 ◽  
Author(s):  
Bart J Kane ◽  
Mark R Cutkosky ◽  
Gregory T.A Kovacs
Keyword(s):  
High Resolution ◽  
Stress Sensor ◽  
Cmos Compatible ◽  
Tactile Imaging ◽  
Traction Stress

scholarly journals Towards human distance estimation using a thermal sensor array

2021 ◽  
Author(s):  
Abdallah Naser ◽  
Ahmad Lotfi ◽  
Joni Zhong
Keyword(s):  
High Resolution ◽  
Independent Living ◽  
Sensor Array ◽  
Distance Estimation ◽  
Thermal Sensor ◽  
Indoor Environments ◽  
Contagious Diseases ◽  
Novel Approach ◽  
Thermal Cameras ◽  
Distance Estimator

AbstractHuman distance estimation is essential in many vital applications, specifically, in human localisation-based systems, such as independent living for older adults applications, and making places safe through preventing the transmission of contagious diseases through social distancing alert systems. Previous approaches to estimate the distance between a reference sensing device and human subject relied on visual or high-resolution thermal cameras. However, regular visual cameras have serious concerns about people’s privacy in indoor environments, and high-resolution thermal cameras are costly. This paper proposes a novel approach to estimate the distance for indoor human-centred applications using a low-resolution thermal sensor array. The proposed system presents a discrete and adaptive sensor placement continuous distance estimators using classification techniques and artificial neural network, respectively. It also proposes a real-time distance-based field of view classification through a novel image-based feature. Besides, the paper proposes a transfer application to the proposed continuous distance estimator to measure human height. The proposed approach is evaluated in different indoor environments, sensor placements with different participants. This paper shows a median overall error of $$\pm 0.2$$ ± 0.2  m in continuous-based estimation and $$96.8\%$$ 96.8 % achieved-accuracy in discrete distance estimation.

Flexible High‐Resolution Triboelectric Sensor Array Based on Patterned Laser‐Induced Graphene for Self‐Powered Real‐Time Tactile Sensing

2021 ◽  
pp. 2100709 ◽  
Author(s):  
Zhengguang Yan ◽  
Liangliang Wang ◽  
Yifan Xia ◽  
Rendong Qiu ◽  
Wenquan Liu ◽  
...  
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Sensor Array ◽  
Tactile Sensing ◽  
Self Powered

High-resolution Fiber Optic Seismic Sensor Array for Intrusion Detection of Subway Tunnel

2018 ◽  
Author(s):  
Jiantao Huang ◽  
Wentao Zhang ◽  
Wenhui Huang ◽  
Wenzhu Huang ◽  
Lixin Wang ◽  
...  
Keyword(s):  
High Resolution ◽  
Intrusion Detection ◽  
Sensor Array ◽  
Fiber Optic ◽  
Subway Tunnel

scholarly journals Underwater Ambiguity Elimination Method Based on Co-Prime Sensor Array

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6058
Author(s):  
Tian Lan ◽  
Yilin Wang ◽  
Longhao Qiu
Keyword(s):  
High Resolution ◽  
Sensor Array ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Spatial Spectrum ◽  
Estimation Methods ◽  
Sensing Applications ◽  
Passive Sensing ◽  
Spatial Spectra ◽  
Beam Patterns

Recently, the direction of arrival estimation with co-prime arrays has gradually been applied in underwater scenarios because of its significant advantages over traditional uniform linear arrays. Despite the advantages of co-prime arrays, the spatial spectra obtained directly from conventional beamforming can be degraded by grating lobes due to the sparse spatial sampling in passive sensing applications, which will seriously deteriorate the estimation performance. In this paper, capon beamforming is applied to a co-prime sensor array as a pretreatment before high-resolution direction of arrival (DOA) estimation methods. The amplitudes extracted from the beam-domain outputs of two subarrays and the phases extracted from the cross-spectrum of the spatial spectrum are exploited to suppress the spurious peaks in beam patterns and eliminate ambiguities. Consequently, interference can be further mitigated, and the performance of high-resolution DOA methods will be guaranteed. Simulations show that the method proposed can improve the reliability and accuracy of DOA estimation with great value in practice.

Research on high-resolution distributed fiber optic stress sensor for landslide monitoring

2008 ◽  
Author(s):  
Zhiyong Dai ◽  
Yongzhi Liu ◽  
Lixun Zhang ◽  
Zhonghua Ou ◽  
Ce Zhou
Keyword(s):  
High Resolution ◽  
Fiber Optic ◽  
Landslide Monitoring ◽  
Stress Sensor
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