IEEE Transactions on Haptics最新文献_第4页

Pressure Stimuli and Spatiotemporal Illusions on the Forearm. 前臂的压力刺激和时空错觉

IF 2.9 3区计算机科学

IEEE Transactions on Haptics Pub Date : 2024-05-10 DOI: 10.1109/TOH.2024.3399394

Elisabet Henell, Judith Weda, Sophia Cedermalm, Linnea Eklov, Marta Hakansson, Jesper Nordstrom, Marit Reibring, Jonas Stalhand, Nils-Krister Persson, Angelika Mader, Jan B F van Erp, Edwin W H Jager

{"title":"Pressure Stimuli and Spatiotemporal Illusions on the Forearm.","authors":"Elisabet Henell, Judith Weda, Sophia Cedermalm, Linnea Eklov, Marta Hakansson, Jesper Nordstrom, Marit Reibring, Jonas Stalhand, Nils-Krister Persson, Angelika Mader, Jan B F van Erp, Edwin W H Jager","doi":"10.1109/TOH.2024.3399394","DOIUrl":"https://doi.org/10.1109/TOH.2024.3399394","url":null,"abstract":"To design complex wearable haptic interfaces using pressure, we have to explore how we can use pressure stimuli to their full potential. Haptic illusions, such as apparent motion and apparent location, can be a part of this. If these illusions can be evoked with pressure, haptic patterns can increase in complexity without increasing the number of actuators or combining different types of actuators. We did two psychophysical experiments with pressure stimuli on the forearm using a pneumatic sleeve with multiple, individually controlled McKibben actuators. In Experiment 1, we found that spatial integration of two simultaneously presented stimuli occurred for distances up to 61 mm. In Experiment 2, we found that apparent motion can be elicited with distinct pressure stimuli over a range of temporal parameters. These results clearly show spatio-temporal integration in the somatosensory system for pressure stimuli. We discuss these findings in relation to effects found for vibration and the mechanoreceptors in the glabrous skin.","PeriodicalId":13215,"journal":{"name":"IEEE Transactions on Haptics","volume":"PP ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140903992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Influence of Back Length on Vibrotactile Acuity in Vertical Direction 背部长度对垂直方向振动触觉敏锐度的影响

IF 2.9 3区计算机科学

IEEE Transactions on Haptics Pub Date : 2024-04-08 DOI: 10.1109/toh.2024.3385294

Astrid M. L. Kappers, Marloes P. A. van der Burgt, Savannah M. Nowak, Fabiènne P. van der Weide, Wouter K. Vos, Myrthe A. Plaisier

引用次数: 0

Synergistic Illusions: Enhancing Perceptual Effects of Pseudo-Attraction Force by Kinesthetic Illusory Hand Movement 协同幻觉：通过动觉幻觉手部运动增强伪牵引力的感知效果

IF 2.9 3区计算机科学

IEEE Transactions on Haptics Pub Date : 2024-04-08 DOI: 10.1109/toh.2024.3386199

Takuya Noto, Takuto Nakamura, Tomohiro Amemiya

引用次数: 0

Leveraging Haptic Feedback to Improve Data Quality and Quantity for Deep Imitation Learning Models 利用触觉反馈提高深度模仿学习模型的数据质量和数量

IF 2.9 3区计算机科学

IEEE Transactions on Haptics Pub Date : 2024-04-03 DOI: 10.1109/toh.2024.3384482

Catie Cuan, Allison Okamura, Mohi Khansari

引用次数: 0

Development and Evaluation of a Learning-based Model for Real-time Haptic Texture Rendering. 开发和评估基于学习的实时触觉纹理渲染模型

IF 2.9 3区计算机科学

IEEE Transactions on Haptics Pub Date : 2024-03-27 DOI: 10.1109/TOH.2024.3382258

Negin Heravi, Heather Culbertson, Allison M Okamura, Jeannette Bohg

{"title":"Development and Evaluation of a Learning-based Model for Real-time Haptic Texture Rendering.","authors":"Negin Heravi, Heather Culbertson, Allison M Okamura, Jeannette Bohg","doi":"10.1109/TOH.2024.3382258","DOIUrl":"https://doi.org/10.1109/TOH.2024.3382258","url":null,"abstract":"Current Virtual Reality (VR) environments lack the haptic signals that humans experience during real-life interactions, such as the sensation of texture during lateral movement on a surface. Adding realistic haptic textures to VR environments requires a model that generalizes to variations of a user's interaction and to the wide variety of existing textures in the world. Current methodologies for haptic texture rendering exist, but they usually develop one model per texture, resulting in low scalability. We present a deep learning-based action-conditional model for haptic texture rendering and evaluate its perceptual performance in rendering realistic texture vibrations through a multi-part human user study. This model is unified over all materials and uses data from a vision-based tactile sensor (GelSight) to render the appropriate surface conditioned on the user's action in real-time. For rendering texture, we use a high-bandwidth vibrotactile transducer attached to a 3D Systems Touch device. The results of our user study shows that our learning-based method creates high-frequency texture renderings with comparable or better quality than state-of-the-art methods without the need to learn a separate model per texture. Furthermore, we show that the method is capable of rendering previously unseen textures using a single GelSight image of their surface.","PeriodicalId":13215,"journal":{"name":"IEEE Transactions on Haptics","volume":"PP ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140305448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel Kinematic Gait Parameter-Based Vibrotactile Cue for Freezing of Gait Mitigation among Parkinson's Patients: A Pilot Study. 基于运动步态参数的新型振动触觉线索用于缓解帕金森患者的步态冻结：一项试点研究

IF 2.9 3区计算机科学

IEEE Transactions on Haptics Pub Date : 2024-03-25 DOI: 10.1109/TOH.2024.3378917

Rohan Khatavkar, Ashutosh Tiwari, Priyanka Bhat, Achal Kumar Srivastava, S Senthil Kumaran, Deepak Joshi

{"title":"A Novel Kinematic Gait Parameter-Based Vibrotactile Cue for Freezing of Gait Mitigation among Parkinson's Patients: A Pilot Study.","authors":"Rohan Khatavkar, Ashutosh Tiwari, Priyanka Bhat, Achal Kumar Srivastava, S Senthil Kumaran, Deepak Joshi","doi":"10.1109/TOH.2024.3378917","DOIUrl":"https://doi.org/10.1109/TOH.2024.3378917","url":null,"abstract":"Auditory and visual cues have been efficacious in laboratory-based freezing of gait (FoG) mitigation in Parkinson's disease (PD). However, real-life applications of these cues are restricted due to inconvenience to the users. Closed-loop vibrotactile cues based on temporal gait events have overcome the shortcomings of auditory and visual cueing. However, kinematic gait parameter-driven vibrotactile cueing has not been explored yet. Kinematic gait parameter-driven cueing is more effective than temporal cueing, according to FoG pathophysiology studies. Therefore, we developed and pilot-tested a novel cueing scheme in which the foot-to-ground angle at heel strike (FGA_HS) is estimated using indigenous instrumented shoes to drive vibrotactile cueing. Ten PD freezers underwent a 6-meter timed walk test in the off-medication state with and without the cue and after medication without the cue. The proposed system potentially mitigated FoG, quantified by a reduction in the ratio of time spent freezing to the total walking time and the number of FoGs. The FoG mitigation potential of the cue was further supported by increased anteroposterior center of pressure progression and FGA_HS. With a future comprehensive validation in a larger number of participants, the novel cue could likely be used in practice and commercialized.","PeriodicalId":13215,"journal":{"name":"IEEE Transactions on Haptics","volume":"PP ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140287335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Providing Skin Stretch On The Lower Back - Design And Psychophysical Evaluation With A Stepping Task. 在下背部提供皮肤拉伸--设计和通过踏步任务进行心理物理评估。

IF 2.9 3区计算机科学

IEEE Transactions on Haptics Pub Date : 2024-03-25 DOI: 10.1109/TOH.2024.3381336

Erick Jimenez-Gonzalez, Chen Avraham, Asya Mikhaylov, Simona Bar-Haim, Ilana Nisky

{"title":"Providing Skin Stretch On The Lower Back - Design And Psychophysical Evaluation With A Stepping Task.","authors":"Erick Jimenez-Gonzalez, Chen Avraham, Asya Mikhaylov, Simona Bar-Haim, Ilana Nisky","doi":"10.1109/TOH.2024.3381336","DOIUrl":"https://doi.org/10.1109/TOH.2024.3381336","url":null,"abstract":"Haptic devices are becoming popular in many applications, including medical, gaming, and consumer devices. Yet, the majority of studies focus on the use of haptics for the upper limbs, with much less attention to the stimulation of other regions of the body such as the lower back. In this study, we designed three types of skin stretch stimulation devices that can be placed on a belt and apply tactile stimulation on the lower back. We present these devices that apply lateral, longitudinal, and rotational skin stretch stimulation on the lower back, and evaluate their effectiveness in providing haptic commands for the lower limbs of healthy participants. We designed psychophysical experiments that quantify the discrimination accuracy of participants with a stepping task. The results demonstrate the ability of participants to discriminate two out of three features of stimulation provided on the lower back. These results demonstrate that skin stretch on the lower back can effectively transmit haptic signals and elicit responses in the lower limb for various applications. Future studies are needed to optimize providing skin stretch on the lower back to benefit various applications such as training, rehabilitation, gaming, and assistive devices.","PeriodicalId":13215,"journal":{"name":"IEEE Transactions on Haptics","volume":"PP ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140287336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identification and Analysis of Human-Exoskeleton Coupling Parameters in Lower Extremities. 下肢人体-外骨骼耦合参数的识别与分析

IF 2.9 3区计算机科学

IEEE Transactions on Haptics Pub Date : 2024-03-20 DOI: 10.1109/TOH.2024.3375295

Cheng Huang, Shuang Ji, Zhenlei Chen, Tianyi Sun, Qing Guo, Yao Yan

{"title":"Identification and Analysis of Human-Exoskeleton Coupling Parameters in Lower Extremities.","authors":"Cheng Huang, Shuang Ji, Zhenlei Chen, Tianyi Sun, Qing Guo, Yao Yan","doi":"10.1109/TOH.2024.3375295","DOIUrl":"10.1109/TOH.2024.3375295","url":null,"abstract":"This paper proposed linear and non-linear models for predicting human-exoskeleton coupling forces to enhance the studies of human-exoskeleton coupling dynamics. Then the parameters of these models were identified with a newly designed platform and the help of ten adult male and ten adult female volunteers (Age: 23.65 ±4.03 years, Height: 165.60 ±8.32 mm, Weight: 62.35 ±14.09 kg). Comparing the coupling force error predicted by the models with experimental measurements, one obtained a more accurate and robust prediction of the coupling forces with the non-linear model. Moreover, statistical analysis of the experimental data was performed to reveal the correlation between the coupling parameters and coupling positions and looseness. Finally, backpropagation (BP) neural network and Gaussian Process Regression (GPR) were used to predict the human-exoskeleton coupling parameters. The significance of each input parameter to the human-exoskeleton coupling parameters was assessed by analyzing the sensitivity of GPR performance to its inputs. The novelty and contribution are the establishment of the non-linear coupling model, the design of the coupling experimental platform and a regression model which provides a possibility to obtain human-exoskeleton without experimental measurement and identification. Based on this work, one can optimize control algorithm and design comfortable human-exoskeleton interaction.","PeriodicalId":13215,"journal":{"name":"IEEE Transactions on Haptics","volume":"PP ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140174499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Motor Learning in Robot-Based Haptic Dyads: A Review 基于机器人的触觉二人组中的运动学习：综述

IF 2.9 3区计算机科学

IEEE Transactions on Haptics Pub Date : 2024-03-19 DOI: 10.1109/toh.2024.3379035

Erica L. Waters, Michelle J. Johnson

引用次数: 0

The CUFF, Clenching Upper-Limb Force Feedback Wearable Device: Design, Characterization and Validation. CUFF，紧握上肢力反馈可穿戴设备：设计、特征描述和验证

IF 2.9 3区计算机科学

IEEE Transactions on Haptics Pub Date : 2024-03-13 DOI: 10.1109/TOH.2024.3375010

Barontini F, Catalano M G, Fani S, Grioli G, Bianchi M, Bicchi A

{"title":"The CUFF, Clenching Upper-Limb Force Feedback Wearable Device: Design, Characterization and Validation.","authors":"Barontini F, Catalano M G, Fani S, Grioli G, Bianchi M, Bicchi A","doi":"10.1109/TOH.2024.3375010","DOIUrl":"https://doi.org/10.1109/TOH.2024.3375010","url":null,"abstract":"This paper outlines the design, characterization, and validation of a novel wearable haptic device capable of delivering skin stretch, force feedback, or a combination of both, to the user's arm. In this study, we conducted physical and perceptual characterization with eleven able-bodied participants, and two separate experiments involving discrimination and manipulation tasks, encompassing a total of 32 participants. In both experiments, we used the CUFF device in conjunction with the Pisa/IIT SoftHand. The first experiment was a discrimination task in which participants were required to differentiate between pairs of cylinders based on their dimensions and perceived softness. The second experiment called for participants to control the robotic hand in order to grasp objects. Following the experiments, participants provided a subjective evaluation of the device. The results from the experiments and the participants' feedback underscored the effectiveness of the proposed device. Thanks to its versatility and structural design, the device shows promise as a viable solution for a variety of applications, including teleoperation, guidance, rehabilitation tasks, and prosthetic applications.","PeriodicalId":13215,"journal":{"name":"IEEE Transactions on Haptics","volume":"PP ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140119345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0