Object Handling Precision Using Mouse-like Haptic Display Generating Tactile and Force Sensation

Tsuboi, Satoshi; Ohka, Masahiro; Yussof, Hanafiah; Makhtar, Ahmad Khushairy; Basir, Siti Nora

doi:10.21307/ijssis-2017-567

Cited by 6 publications

(8 citation statements)

References 16 publications

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“…As noted above, real-time sensory feedback is crucial during robotic surgery and rehabilitation [21,22,23]. A reproducible apparatus and algorithm for capturing the magnitude of forces and torques experienced by a TVC during cannulation of foam media was established in our lab.…”

Section: A Experimental Set-upmentioning

confidence: 99%

Torque Measurement During Body Cavity Entry Using A Threaded Visual Cannula

Bakirtzian

Ternamian²,

Manson

et al. 2017

International Journal on Smart Sensing and Intelligent Systems

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Section: A Experimental Set-upmentioning

confidence: 99%

Torque Measurement During Body Cavity Entry Using A Threaded Visual Cannula

Bakirtzian

Ternamian²,

Manson

et al. 2017

International Journal on Smart Sensing and Intelligent Systems

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“…In order to reduce the estimation variance, it is necessary to signal to filter. The indirect method after the DFT coefficients of paragraphs, produces multiple modulations by the coefficients, and then estimates the double spectrum of each piece of data [20,21]. In order to eliminate the noise of the underwater target, the direct method is adopted.…”

Section: Bbispectrum Analysis Theory and Algorithmmentioning

confidence: 99%

Research On Underwater Target Signal Detection And Recognition Processing Algorithm

Wang

Liu

2014

International Journal on Smart Sensing and Intelligent Systems

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Practical application of underwater target echo signal usually get disturbed a Gaussian noise and non-Gaussian noise, in view of the signal recognition problem, this paper proposes a double spectrum analysis based on wavelet transform domain method of weak signal and D-S data fusion algorithm. Through the study of double spectrum of the wavelet transform domain analysis to the signal processing algorithm, the characteristics of the target signal and noise source signal, a processing method of underwater target signal de-noising was presented. For multiple underwater target recognition, the model of underwater target multi-sensor signal recognition was studied. On the basis of analyzing the principle of D-S method and the fusion of multiple signal recognition, the concrete measures of D-S data fusion reasoning was researched and analyzed. By using the combination of simulation calculation and experiment measures, the results show the signal processing method is correct.

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“…The first challenge is the difficulty of mechanically reproducing the feeling of touching a surface. To produce this feeling, we developed haptic devices equipped with a refreshable dot-matrix display, which offers superior presentation in a convex shape (Tsuboi et al, 2013). Although the dot-pattern-type displays meet the performance requirements of this challenge, they still face problems related to hardware.…”

Section: Introductionmentioning

confidence: 99%

Edge angle perception precision of active and passive touches for haptic VR using dot-matrix display

Komura

Ohka

2019

JAMDSM

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In haptic virtual reality (VR), there are two important challenges: one is the difficulty of reproducing a surface feeling with haptic devices, and the other is the presentation method used for the display. We developed a tactile mouse using palm presentation for the former challenge to tackle the issue, "which tactile perception is superior for texture recognition, active or passive touch?" In a psychophysical experiment, two oblique edges of dotpatterns are presented consecutively as simple textures, and human subjects compare them to determine which is larger. We evaluated the precision of perception using the difference threshold of the edge angles calculated by the constant stimuli method. Experimental results show that the perception precision at low edge movement speeds (45 and 90 mm/s) was higher than that at high speeds (130 and 170 mm/s), and moreover, that there was no significant difference in precision of the edge angle perception between active and passive touches. The former finding seems to be caused by how well the mechanoreceptive unit handles uneven surfaces. The latter finding is due to the mechanism of the efference copy of a motor signal provided from the motor cortex not having a significant influence on texture recognition. The tactile image deterioration induced by the object movement might be compensated for with information processing in the central nervous system, which keeps stable tactile image without help from the efference copy. This work contributes to developing the haptic device which provides visually impaired persons with the tactile map.

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Object Handling Precision Using Mouse-like Haptic Display Generating Tactile and Force Sensation

Cited by 6 publications

References 16 publications

Torque Measurement During Body Cavity Entry Using A Threaded Visual Cannula

Torque Measurement During Body Cavity Entry Using A Threaded Visual Cannula

Research On Underwater Target Signal Detection And Recognition Processing Algorithm

Edge angle perception precision of active and passive touches for haptic VR using dot-matrix display

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