Pub Date : 2014-03-20DOI: 10.1109/HAPTICS.2014.6775534
L. B. Porquis, Daiki Maemori, Naohisa Nagaya, M. Konyo, S. Tadokoro
Summary form only given, as follows. This demo provides a hands-on experience to support the study on modulating the perceived stiffness by “controlling” the perceived force evoked by suction pressure stimuli. The purpose of this work is to demonstrate the possibility of controlling suction pressure stimuli to enhance stiffness perception. The approach is to sense the force acting on a grasped object and use that signal to control the tactile stimuli for inducing strain at the contact areas of the skin. The idea is to increase the strain energy density at the contacts to further stimulate the receptors. A psychophysical function was used to control the amount of stimulation. The pressure stimuli were thought to enhance the strain energy density on the skin relative to the applied external force. From the subjects' responses, we found that the perceived stiffness of a spring sample appears to increase when adjusting the gain of the force signal.
{"title":"Presenting virtual stiffness with suction pressure","authors":"L. B. Porquis, Daiki Maemori, Naohisa Nagaya, M. Konyo, S. Tadokoro","doi":"10.1109/HAPTICS.2014.6775534","DOIUrl":"https://doi.org/10.1109/HAPTICS.2014.6775534","url":null,"abstract":"Summary form only given, as follows. This demo provides a hands-on experience to support the study on modulating the perceived stiffness by “controlling” the perceived force evoked by suction pressure stimuli. The purpose of this work is to demonstrate the possibility of controlling suction pressure stimuli to enhance stiffness perception. The approach is to sense the force acting on a grasped object and use that signal to control the tactile stimuli for inducing strain at the contact areas of the skin. The idea is to increase the strain energy density at the contacts to further stimulate the receptors. A psychophysical function was used to control the amount of stimulation. The pressure stimuli were thought to enhance the strain energy density on the skin relative to the applied external force. From the subjects' responses, we found that the perceived stiffness of a spring sample appears to increase when adjusting the gain of the force signal.","PeriodicalId":90847,"journal":{"name":"IEEE Haptics Symposium : [proceedings]. IEEE Haptics Symposium","volume":"36 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2014-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89673289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-03-20DOI: 10.1109/HAPTICS.2014.6775531
T. Sakurai, H. Shinoda
Summary form only given, as follows. Demonstration includes an experiment of presenting sharp line-shape vibrotactile sensations produced by Edge Stimulation (ES) method. A 3×3 vibrator array tactile display with small amplitudes present various tactile line sensations between the vibrators rather than on the vibrators themselves. The display can make 5 um vibration at 30 Hz perceivable, even though they normally require a 30 um amplitude for simple vibrations. The ES method allows the tactile display surface to be a flat plane; it can be mounted on a flat surface of any devices and can project images on this surface.
{"title":"Sharp tactile lines by edge stimulation method","authors":"T. Sakurai, H. Shinoda","doi":"10.1109/HAPTICS.2014.6775531","DOIUrl":"https://doi.org/10.1109/HAPTICS.2014.6775531","url":null,"abstract":"Summary form only given, as follows. Demonstration includes an experiment of presenting sharp line-shape vibrotactile sensations produced by Edge Stimulation (ES) method. A 3×3 vibrator array tactile display with small amplitudes present various tactile line sensations between the vibrators rather than on the vibrators themselves. The display can make 5 um vibration at 30 Hz perceivable, even though they normally require a 30 um amplitude for simple vibrations. The ES method allows the tactile display surface to be a flat plane; it can be mounted on a flat surface of any devices and can project images on this surface.","PeriodicalId":90847,"journal":{"name":"IEEE Haptics Symposium : [proceedings]. IEEE Haptics Symposium","volume":"20 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2014-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81482257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-03-20DOI: 10.1109/HAPTICS.2014.6775548
H. Seifi, C. Anthonypillai, Karon E Maclean
Summary form only given, as follows. Touch feedback (e.g., vibrations) can add to the expressiveness and utility of electronic devices, but users have a broad range of preferences as to their content and deployment. Rather than requiring of designers the nearly impossible task of pleasing everyone, we aim to empower users with easy-to-use tools that balance control with effort-of-use, for a desired degree of customizability. We focus in particular on affective qualities. In this demo, in the context of several application scenarios, we propose five parameters that can describe vibration customization tools, and demonstrate them with three tool concepts. Respectively, these follow themes of Choice (fast and convenient: choose individual stimuli), Filter (moderate control: modify base parameters of individual stimuli) and Block (high control: compose stimuli by arranging their component parts). Our aim is to open a discussion on end-user customization and tools, and learn of more contexts that could benefit from such an approach.
{"title":"End-user vibration customization tools: Parameters and examples","authors":"H. Seifi, C. Anthonypillai, Karon E Maclean","doi":"10.1109/HAPTICS.2014.6775548","DOIUrl":"https://doi.org/10.1109/HAPTICS.2014.6775548","url":null,"abstract":"Summary form only given, as follows. Touch feedback (e.g., vibrations) can add to the expressiveness and utility of electronic devices, but users have a broad range of preferences as to their content and deployment. Rather than requiring of designers the nearly impossible task of pleasing everyone, we aim to empower users with easy-to-use tools that balance control with effort-of-use, for a desired degree of customizability. We focus in particular on affective qualities. In this demo, in the context of several application scenarios, we propose five parameters that can describe vibration customization tools, and demonstrate them with three tool concepts. Respectively, these follow themes of Choice (fast and convenient: choose individual stimuli), Filter (moderate control: modify base parameters of individual stimuli) and Block (high control: compose stimuli by arranging their component parts). Our aim is to open a discussion on end-user customization and tools, and learn of more contexts that could benefit from such an approach.","PeriodicalId":90847,"journal":{"name":"IEEE Haptics Symposium : [proceedings]. IEEE Haptics Symposium","volume":"34 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2014-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76875169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-03-20DOI: 10.1109/HAPTICS.2014.6775550
Idin Karuei, Karon E Maclean
Summary form only given, as follows. For many kinds of locomotion - e.g. walking, running, cycling - speed is a function of stride-length and cadence: generally, the walker, runner, or cyclist can control either one to move faster or slower. We've recently shown that we can guide a pedestrian's walking rate with a vibratory tap to which they synchronize cadence (see “Susceptibility to Periodic Vibrotactile Guidance of Human Cadence” by Karuei & MacLean). In this demo, we use the wrist-worn Haptic Notifier and RRACE (our Cadence Estimation Algorithm) on an Android phone, and show how they work together to help a pedestrian decide when to start moving and guide him/her to pace at the right speed to reach a destination on time. Wear the Haptic Notifier device, hold the Android phone in one hand, and walk/cycle to a destination (or pretend to). Compare arrival time with/without guidance, test the system response to being ahead or behind in time, and explore different usage strategies.
{"title":"Periodic Vibrotactile Guidance","authors":"Idin Karuei, Karon E Maclean","doi":"10.1109/HAPTICS.2014.6775550","DOIUrl":"https://doi.org/10.1109/HAPTICS.2014.6775550","url":null,"abstract":"Summary form only given, as follows. For many kinds of locomotion - e.g. walking, running, cycling - speed is a function of stride-length and cadence: generally, the walker, runner, or cyclist can control either one to move faster or slower. We've recently shown that we can guide a pedestrian's walking rate with a vibratory tap to which they synchronize cadence (see “Susceptibility to Periodic Vibrotactile Guidance of Human Cadence” by Karuei & MacLean). In this demo, we use the wrist-worn Haptic Notifier and RRACE (our Cadence Estimation Algorithm) on an Android phone, and show how they work together to help a pedestrian decide when to start moving and guide him/her to pace at the right speed to reach a destination on time. Wear the Haptic Notifier device, hold the Android phone in one hand, and walk/cycle to a destination (or pretend to). Compare arrival time with/without guidance, test the system response to being ahead or behind in time, and explore different usage strategies.","PeriodicalId":90847,"journal":{"name":"IEEE Haptics Symposium : [proceedings]. IEEE Haptics Symposium","volume":"36 1 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2014-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89431092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-03-20DOI: 10.1109/HAPTICS.2014.6775544
K. Yoshino, H. Shinoda
Summary form only given, as follows. In this demonstration, we show contactless touch screen that enables interaction near the screen surface with tactile feedback. By combining aerial tactile stimulation with gestures in front of the screen, users can push realistic virtual buttons and input hand writing characters with variable brush strike strength. The components of this system are a special screen (Visuo-Acoustic Screen), a visual projector, an airborne ultrasound phased array for giving noncontact tactile and an IR sensor for the detection of finger movement. This system also enables blind touch interaction for both visually impaired people and healthy people.
{"title":"Contactless 2.5 dimensional touch screen with tactile feedback","authors":"K. Yoshino, H. Shinoda","doi":"10.1109/HAPTICS.2014.6775544","DOIUrl":"https://doi.org/10.1109/HAPTICS.2014.6775544","url":null,"abstract":"Summary form only given, as follows. In this demonstration, we show contactless touch screen that enables interaction near the screen surface with tactile feedback. By combining aerial tactile stimulation with gestures in front of the screen, users can push realistic virtual buttons and input hand writing characters with variable brush strike strength. The components of this system are a special screen (Visuo-Acoustic Screen), a visual projector, an airborne ultrasound phased array for giving noncontact tactile and an IR sensor for the detection of finger movement. This system also enables blind touch interaction for both visually impaired people and healthy people.","PeriodicalId":90847,"journal":{"name":"IEEE Haptics Symposium : [proceedings]. IEEE Haptics Symposium","volume":"48 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2014-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88435756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-02-01DOI: 10.1109/HAPTICS.2014.6775482
Daine R Lesniak, Gregory J Gerling
In effort to mimic the sensitivity and efficient information transfer of natural tactile afferents, recent work has combined force transducers and computational models of mechanosensitive afferents. Sensor durability, another feature important to sensor design, might similarly capitalize upon biological rules. In particular, gains in sensor durability might leverage insight from the compound end organ of the slowly adapting type I afferent, especially its multiple sites of spike initiation that reset each other. This work develops models of compound spiking sensors using a computational network of transduction functions and leaky integrate and fire models (together a spike encoder, the software element of a compound spiking sensor), informed by the output of an existing force transducer (hardware sensing elements of a compound spiking sensor). Individual force transducer failures are simulated with and without resetting between spike encoders to test the importance of both resetting and configuration on system durability. The results indicate that the resetting of adjacent spike encoders, upon the firing of a spike by any one, is an essential mechanism to maintain a stable overall response in the midst of transducer failure. Furthermore, results suggest that when resetting is enabled, the durability of a compound sensor is maximized when individual transducers are paired with spike encoders and multiple, paired units are employed. To explore these ideas more fully, use cases examine the design of a compound sensor to either reach a target lifetime with a set probability or determine how often to schedule maintenance to control the probability of failure.
{"title":"Mimicking the End Organ Architecture of Slowly Adapting Type I Afferents May Increase the Durability of Artificial Touch Sensors.","authors":"Daine R Lesniak, Gregory J Gerling","doi":"10.1109/HAPTICS.2014.6775482","DOIUrl":"https://doi.org/10.1109/HAPTICS.2014.6775482","url":null,"abstract":"<p><p>In effort to mimic the sensitivity and efficient information transfer of natural tactile afferents, recent work has combined force transducers and computational models of mechanosensitive afferents. Sensor durability, another feature important to sensor design, might similarly capitalize upon biological rules. In particular, gains in sensor durability might leverage insight from the compound end organ of the slowly adapting type I afferent, especially its multiple sites of spike initiation that reset each other. This work develops models of compound spiking sensors using a computational network of transduction functions and leaky integrate and fire models (together a spike encoder, the software element of a compound spiking sensor), informed by the output of an existing force transducer (hardware sensing elements of a compound spiking sensor). Individual force transducer failures are simulated with and without resetting between spike encoders to test the importance of both resetting and configuration on system durability. The results indicate that the resetting of adjacent spike encoders, upon the firing of a spike by any one, is an essential mechanism to maintain a stable overall response in the midst of transducer failure. Furthermore, results suggest that when resetting is enabled, the durability of a compound sensor is maximized when individual transducers are paired with spike encoders and multiple, paired units are employed. To explore these ideas more fully, use cases examine the design of a compound sensor to either reach a target lifetime with a set probability or determine how often to schedule maintenance to control the probability of failure.</p>","PeriodicalId":90847,"journal":{"name":"IEEE Haptics Symposium : [proceedings]. IEEE Haptics Symposium","volume":"2014 ","pages":"361-366"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/HAPTICS.2014.6775482","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33074527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-02-01DOI: 10.1109/HAPTICS.2014.6775540
Heather Culbertson, J. Delgado, K. J. Kuchenbecker
Summary form only given, as follows. The Penn Haptic Texture Toolkit (HaTT) is a collection of 100 haptic texture and friction models, the recorded data from which the models were made, images of the textures, and the code and methods necessary to render these textures using an impedance-type haptic device such as a SensAble Phantom Omni. This toolkit was developed to provide haptics researchers with a method for comparing and validating their texture modeling and rendering methods. The included rendering code has the additional benefit of allowing others, both researchers and designers, to incorporate our textures into their virtual environments, which will lead to a richer experience for the user. This demo showcases the rendering portion of the toolkit by allowing users to feel all 100 modeled textures mapped to a sphere using a SensAble Phantom Omni. The 100 real texture samples will also be available for comparison.
{"title":"The Penn Haptic Texture Toolkit","authors":"Heather Culbertson, J. Delgado, K. J. Kuchenbecker","doi":"10.1109/HAPTICS.2014.6775540","DOIUrl":"https://doi.org/10.1109/HAPTICS.2014.6775540","url":null,"abstract":"Summary form only given, as follows. The Penn Haptic Texture Toolkit (HaTT) is a collection of 100 haptic texture and friction models, the recorded data from which the models were made, images of the textures, and the code and methods necessary to render these textures using an impedance-type haptic device such as a SensAble Phantom Omni. This toolkit was developed to provide haptics researchers with a method for comparing and validating their texture modeling and rendering methods. The included rendering code has the additional benefit of allowing others, both researchers and designers, to incorporate our textures into their virtual environments, which will lead to a richer experience for the user. This demo showcases the rendering portion of the toolkit by allowing users to feel all 100 modeled textures mapped to a sphere using a SensAble Phantom Omni. The 100 real texture samples will also be available for comparison.","PeriodicalId":90847,"journal":{"name":"IEEE Haptics Symposium : [proceedings]. IEEE Haptics Symposium","volume":"85 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85849055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2003-01-01DOI: 10.1109/HAPTIC.2003.1191332
Wusheng Chou, Tianmiao Wang, L. Hu
{"title":"Design of Data Glove and Arm Type Haptic Interface","authors":"Wusheng Chou, Tianmiao Wang, L. Hu","doi":"10.1109/HAPTIC.2003.1191332","DOIUrl":"https://doi.org/10.1109/HAPTIC.2003.1191332","url":null,"abstract":"","PeriodicalId":90847,"journal":{"name":"IEEE Haptics Symposium : [proceedings]. IEEE Haptics Symposium","volume":"81 1","pages":"422-427"},"PeriodicalIF":0.0,"publicationDate":"2003-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78086520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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