Leveraging Neuroscience to Improve Haptic Rendering

dc.contributor.advisorChan, Sonny
dc.contributor.advisorOehlberg, Lora
dc.contributor.authorKollannur, Sandeep Zechariah George
dc.contributor.committeememberPeters, Ryan
dc.date2019-11-22
dc.date.accessioned2019-07-26T20:02:18Z
dc.date.available2019-07-26T20:02:18Z
dc.date.issued2019-07-26
dc.description.abstractIn the evolving world of virtual reality (VR), haptics plays an important role. Haptics enables individuals to feel and experience the virtual world and to immerse fully in the virtual environment. Haptics has a long history in which researchers have created various types of devices. Virtual reality brings in the need for highly portable and wearable devices which are limited in weight and grounding. Within the restrictive weight and size limitations of mobile and wearable devices limits the haptic rendering capabilities. This thesis attempts to overcome the limitations by developing a better understanding of the biology of touch via sensorimotor neuroscience to improve touch perception in virtual textures. In this research, we explore the receptor cells that encode touch information from mechanical stimuli and send them to the brain. Sensorimotor neuroscience explores the functional role of the different type of receptor cells in the human body. We use this biological perspective to create a classification of wearable haptic devices for the fingertip and the hand. The second part of the research explores the neuroscience concept of stochastic resonance that is proved to improve light touch sensation. We create a system comprising of hardware and software to evaluate the impact of stochastic resonance in a virtual texture discrimination task. I conclude this thesis by exploring the future directions of the research presented in this thesis and summarizing the two main contributions of this thesis: first is to develop a neuroscience-based classification of wearable haptic devices for the fingertip and the hand and second is to build a platform to evaluate the effect of mechanical SR in discriminating virtual textures.en_US
dc.identifier.citationKollannur, S. Z. G. (2019). Leveraging Neuroscience to Improve Haptic Rendering (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/36775
dc.identifier.urihttp://hdl.handle.net/1880/110675
dc.language.isoengen_US
dc.publisher.facultyScienceen_US
dc.publisher.institutionUniversity of Calgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.subjectHapticsen_US
dc.subjectNeuroscienceen_US
dc.subjectHCIen_US
dc.subject.classificationComputer Scienceen_US
dc.titleLeveraging Neuroscience to Improve Haptic Renderingen_US
dc.typemaster thesisen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorUniversity of Calgaryen_US
thesis.degree.nameMaster of Science (MSc)en_US
ucalgary.item.requestcopytrueen_US
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