東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Tactile Sensing, Information, and Fe...

Shao, Yitian.

FindBook

Google Book

Amazon

博客來

Tactile Sensing, Information, and Feedback via Wave Propagation = = 基于波传播的触觉传感，信息，和反馈.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Tactile Sensing, Information, and Feedback via Wave Propagation =/
其他題名:	基于波传播的触觉传感，信息，和反馈.
作者:	Shao, Yitian.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	212 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-05, Section: B.
Contained By:	Dissertations Abstracts International82-05B.
標題:	Electrical engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28092523
ISBN:	9798684681967

Tactile Sensing, Information, and Feedback via Wave Propagation = = 基于波传播的触觉传感，信息，和反馈.
Shao, Yitian.

Tactile Sensing, Information, and Feedback via Wave Propagation =基于波传播的触觉传感，信息，和反馈. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 212 p.

Source: Dissertations Abstracts International, Volume: 82-05, Section: B.

Thesis (Ph.D.)--University of California, Santa Barbara, 2020.

This item must not be sold to any third party vendors.

A longstanding goal of engineering has been to realize haptic interfaces that can convey realistic sensations of touch, comparable to signals presented via visual or audio displays. Today, this ideal remains far from realization, due to the difficulty of characterizing and electronically reproducing the complex and dynamic tactile signals that are produced during even the simplest touch interactions. The overarching goal of the proposed PhD research is to capture whole-hand tactile signals produced during natural interactions, to characterize the information content in these signals, and to use the results to guide the design of new electronic devices for tactile feedback.The first part of the thesis is motivated by recent findings that touch contact elicits tactile signals can travel long distances in the hand. In order to elucidate the role of these processes in natural touch interactions, I first developed wearable sensing instrumentation, comprised of high channel count accelerometer arrays, for capturing whole-hand mechanical signals during manual interactions. The temporal, spatial and frequency structure of the signals on the hand were found to vary systematically with hand interactions and could be used to identify them. These results are consistent with findings in perception research indicating that vibrotactile signals distributed throughout the hand can transmit information regarding explored and manipulated objects.In the second part of the thesis, I investigated the information content in these tactile waves using signal processing methods. Motivated by the structure in these signals, and neuroscience considerations, I sought to extract informative representations of these signals based on solutions of an optimization problem formulated as convolutional sparse coding of natural tactile signals. This yielded a dictionary of spatiotemporal primitives that provided compact descriptions of information in high dimensional tactile signals in the whole hand, sufficient to accurately classify touched objects and interactions. The primitive patterns were organized in ways reflecting the anatomy and function of the hand and the manual activities involved. In the final part of the PhD, informed by the findings from parts 1 and 2 about spatiotemporal distributions of touch-elicited tactile signals, I developed new methods for distributed haptic feedback adapted to the mechanics and dynamics of the skin. I developed new spatiotemporal haptic effects by using a single actuator to generate tactile stimuli with dynamically controlled spatial extent, based on the frequency-dependent damping of propagating waves in the skin. I designed a wearable haptic feedback device based on compliant liquid dielectric actuators, which can render tactile feedback with substantial displacements and forces via a large active area interfacing the skin. This yielded practical haptic technologies that can produce rich touch feedback for human-computer interaction or virtual reality.

ISBN: 9798684681967Subjects--Topical Terms:

649834
Electrical engineering.
Subjects--Index Terms:

Cutaneous wave

Tactile Sensing, Information, and Feedback via Wave Propagation = = 基于波传播的触觉传感，信息，和反馈.
LDR:04369nmm a2200421 4500 001 2281731
005 20210920103353.5
008 220723s2020 ||||||||||||||||| ||eng d
020 $a 9798684681967
035 $a (MiAaPQ)AAI28092523
035 $a AAI28092523
040 $a MiAaPQ $c MiAaPQ
100 1 $a Shao, Yitian. $3 3560439
245 1 0 $a Tactile Sensing, Information, and Feedback via Wave Propagation = $b 基于波传播的触觉传感，信息，和反馈.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 212 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-05, Section: B.
500 $a Includes supplementary digital materials.
500 $a Advisor: Visell, Yon.
502 $a Thesis (Ph.D.)--University of California, Santa Barbara, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a A longstanding goal of engineering has been to realize haptic interfaces that can convey realistic sensations of touch, comparable to signals presented via visual or audio displays. Today, this ideal remains far from realization, due to the difficulty of characterizing and electronically reproducing the complex and dynamic tactile signals that are produced during even the simplest touch interactions. The overarching goal of the proposed PhD research is to capture whole-hand tactile signals produced during natural interactions, to characterize the information content in these signals, and to use the results to guide the design of new electronic devices for tactile feedback.The first part of the thesis is motivated by recent findings that touch contact elicits tactile signals can travel long distances in the hand. In order to elucidate the role of these processes in natural touch interactions, I first developed wearable sensing instrumentation, comprised of high channel count accelerometer arrays, for capturing whole-hand mechanical signals during manual interactions. The temporal, spatial and frequency structure of the signals on the hand were found to vary systematically with hand interactions and could be used to identify them. These results are consistent with findings in perception research indicating that vibrotactile signals distributed throughout the hand can transmit information regarding explored and manipulated objects.In the second part of the thesis, I investigated the information content in these tactile waves using signal processing methods. Motivated by the structure in these signals, and neuroscience considerations, I sought to extract informative representations of these signals based on solutions of an optimization problem formulated as convolutional sparse coding of natural tactile signals. This yielded a dictionary of spatiotemporal primitives that provided compact descriptions of information in high dimensional tactile signals in the whole hand, sufficient to accurately classify touched objects and interactions. The primitive patterns were organized in ways reflecting the anatomy and function of the hand and the manual activities involved. In the final part of the PhD, informed by the findings from parts 1 and 2 about spatiotemporal distributions of touch-elicited tactile signals, I developed new methods for distributed haptic feedback adapted to the mechanics and dynamics of the skin. I developed new spatiotemporal haptic effects by using a single actuator to generate tactile stimuli with dynamically controlled spatial extent, based on the frequency-dependent damping of propagating waves in the skin. I designed a wearable haptic feedback device based on compliant liquid dielectric actuators, which can render tactile feedback with substantial displacements and forces via a large active area interfacing the skin. This yielded practical haptic technologies that can produce rich touch feedback for human-computer interaction or virtual reality.
590 $a School code: 0035.
650 4 $a Electrical engineering. $3 649834
650 4 $a Biomechanics. $3 548685
650 4 $a Robotics. $3 519753
650 4 $a Computer engineering. $3 621879
653 $a Cutaneous wave
653 $a Haptic feedback
653 $a Haptic sensing
653 $a Skin dynamics
653 $a Tactile signal
653 $a Wearable haptics
653 $a Wave propagation
690 $a 0544
690 $a 0648
690 $a 0771
690 $a 0464
710 2 $a University of California, Santa Barbara. $b Electrical & Computer Engineering. $3 1020566
773 0 $t Dissertations Abstracts International $g 82-05B.
790 $a 0035
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28092523