Proceedings. Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems最新文献

Optimizing Populations of SAI Tactile Mechanoreceptors to Enable Activities of Daily Living. 优化SAI触觉机械感受器的数量，使日常生活活动成为可能。

Proceedings. Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems Pub Date : 2011-07-11 DOI: 10.1109/WHC.2011.5945461

Isabelle I Rivest, Gregory J Gerling

{"title":"Optimizing Populations of SAI Tactile Mechanoreceptors to Enable Activities of Daily Living.","authors":"Isabelle I Rivest, Gregory J Gerling","doi":"10.1109/WHC.2011.5945461","DOIUrl":"10.1109/WHC.2011.5945461","url":null,"abstract":"At present, the dense network of peripheral afferents between finger and brain and the large size of engineered sensors preclude the recreation of biologically observed afferent populations. This work uses a validated computational model of cutaneous skin and tactile afferents to evaluate sparse populations in performing tasks required in activities of daily living. Using a model (3D finite element representation of fingertip skin, linear bi-phasic transduction function, and leaky-integrate-and-fire neuronal model), we systematically varied populations of tactile receptors in dimensions of density (100, 45, 20, and 10 sensors/cm(2)) and size (diameter 0.1, 0.2, 0.5, and 1.0 mm) to determine if a given modeled population can discriminate spheres and cylinders representative of objects used in activities of daily living. Using a scoring system which allows for direct comparisons between the populations, our results indicate that a population must have at least 20 sensors per cm(2) to maintain response resolution in these activities of daily living and that larger-sized sensors do not degrade response resolution.","PeriodicalId":89234,"journal":{"name":"Proceedings. Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems","volume":"2011 ","pages":"53-58"},"PeriodicalIF":0.0,"publicationDate":"2011-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3350320/pdf/nihms309793.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30614659","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}

引用次数: 0

Psychophysical Detection of Inclusions with the Bare Finger amidst Softness Differentials. 软性差异下裸指包裹体的心理物理检测。

Proceedings. Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems Pub Date : 2010-04-10 DOI: 10.1109/HAPTIC.2010.5444684

Leigh A Baumgart, Gregory J Gerling, Ellen J Bass

{"title":"Psychophysical Detection of Inclusions with the Bare Finger amidst Softness Differentials.","authors":"Leigh A Baumgart, Gregory J Gerling, Ellen J Bass","doi":"10.1109/HAPTIC.2010.5444684","DOIUrl":"10.1109/HAPTIC.2010.5444684","url":null,"abstract":"Softness discrimination and the detection of inclusions are important in surgery and other medical tasks. To better understand how the characteristics of an inclusion (size, depth, hardness) and substrate (stiffness) affect their tactile detection and discrimination with the bare finger, we conducted a psychophysics experiment with eighteen participants. The results indicate that within a more pliant substrate (21 kPa), inclusions of 4 mm diameter (20 mm(3) volume) and greater were consistently detectable (above 75% of the time) but only at a depth of 5 mm. Inclusions embedded in stiffer substrates (82 kPa) had to be twice that volume (5 mm diameter, 40 mm(3) volume) to be detectable at the same rate. To analyze which tactile cues most impact stimulus detectability, we utilized logistic regression and generalized estimating equations. The results indicate that substrate stiffness most contributes to inclusion detectability, while the size, depth, and hardness of the stimulus follow in individual importance, respectively. The results seek to aid in the development of clinical tools and information displays and more accurate virtual haptic environments in discrimination of soft tissue.","PeriodicalId":89234,"journal":{"name":"Proceedings. Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems","volume":"2010 ","pages":"17-20"},"PeriodicalIF":0.0,"publicationDate":"2010-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2995217/pdf/nihms208378.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29514084","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}

引用次数: 0

Using Force Sensors and Neural Models to Encode Tactile Stimuli as Spike-based Responses. 利用力传感器和神经模型将触觉刺激编码为基于尖峰的反应。

Proceedings. Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems Pub Date : 2010-03-25 DOI: 10.1109/HAPTIC.2010.5444657

Elmer K Kim, Gregory J Gerling, Scott A Wellnitz, Ellen A Lumpkin

{"title":"Using Force Sensors and Neural Models to Encode Tactile Stimuli as Spike-based Responses.","authors":"Elmer K Kim, Gregory J Gerling, Scott A Wellnitz, Ellen A Lumpkin","doi":"10.1109/HAPTIC.2010.5444657","DOIUrl":"10.1109/HAPTIC.2010.5444657","url":null,"abstract":"Tactile sensors will augment the next generation of prosthetic limbs. However, currently available sensors do not produce biologically-compatible output. This work seeks to illustrate that a force sensor combined with a bi-phasic, neural spiking algorithm, or spiking-sensor, can produce spiking patterns similar to that of the slowly adapting type I (SAI) mechanoreceptor. Experiments were conducted where first spike latency and inter-spike interval, in response to a rapidly delivered (100 ms) sustained displacement (1.1, 1.3, 1.5 mm for 5 s), were compared between the spiking-sensor and SAI recording. The results indicated that the predicted spike times were similar, in magnitude and increasing linear trend, to those observed with the SAI. Over the three displacements, average dynamic ISIs were 7.3, 4.2, 3.8 ms for the spiking-sensor and 6.2, 6.9, 4.1 ms for the SAI, while average static ISIs were 69.0, 45.2, 35.1 ms and 159.9, 69.6, 38.8 ms. The predicted first spike latencies (74.3, 73.9, 96.3 ms) lagged in comparison to those observed for the SAI (26.8, 31.7, 28.8 ms), which may be due to both the different applied force ramp-ups and the SAI's exquisite dynamic sensitivity range and rapid response time.","PeriodicalId":89234,"journal":{"name":"Proceedings. Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems","volume":" ","pages":"195-198"},"PeriodicalIF":0.0,"publicationDate":"2010-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3151443/pdf/nihms-309796.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30064076","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}

引用次数: 0

Evaluating Populations of Tactile Sensors for Curvature Discrimination. 曲率判别触觉传感器群体的评估。

Proceedings. Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems Pub Date : 2010-03-25 DOI: 10.1109/HAPTIC.2010.5444679

Isabelle I Rivest, Gregory J Gerling

引用次数: 0