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A Cell's Viscoelasticity Way of measuring Strategy Depending on the Spheroidization Process of Non-Spherical Designed Mobile or portable.
Our method is applicable to arbitrary environments and operates without any user input or parameter tweaking, aside from the layout of the environments. Itacitinib order We have implemented our algorithm on the Oculus Quest head-mounted display and evaluated its performance in environments with varying complexity. Our project website is available at https//ganuna.umd.edu/arc/.Surround-view panoramic images and videos have become a popular form of media for interactive viewing on mobile devices and virtual reality headsets. Viewing such media provides a sense of immersion by allowing users to control their view direction and experience an entire environment. When using a virtual reality headset, the level of immersion can be improved by leveraging stereoscopic capabilities. Stereoscopic images are generated in pairs, one for the left eye and one for the right eye, and result in providing an important depth cue for the human visual system. For computer generated imagery, rendering proper stereo pairs is well known for a fixed view. However, it is much more difficult to create omnidirectional stereo pairs for a surround-view projection that work well when looking in any direction. One major drawback of traditional omnidirectional stereo images is that they suffer from binocular misalignment in the peripheral vision as a user's view direction approaches the zenith / nadir (north / south pole) of the projection sphere. This paper presents a real-time geometry-based approach for omnidirectional stereo rendering that fits into the standard rendering pipeline. Our approach includes tunable parameters that enable pole merging - a reduction in the stereo effect near the poles that can minimize binocular misalignment. Results from a user study indicate that pole merging reduces visual fatigue and discomfort associated with binocular misalignment without inhibiting depth perception.Human visual attention in immersive virtual reality (VR) is key for many important applications, such as content design, gaze-contingent rendering, or gaze-based interaction. However, prior works typically focused on free-viewing conditions that have limited relevance for practical applications. We first collect eye tracking data of 27 participants performing a visual search task in four immersive VR environments. Based on this dataset, we provide a comprehensive analysis of the collected data and reveal correlations between users' eye fixations and other factors, i.e. users' historical gaze positions, task-related objects, saliency information of the VR content, and users' head rotation velocities. Based on this analysis, we propose FixationNet - a novel learning-based model to forecast users' eye fixations in the near future in VR. We evaluate the performance of our model for free-viewing and task-oriented settings and show that it outperforms the state of the art by a large margin of 19.8% (from a mean error of 2.93° to 2.35°) in free-viewing and of 15.1% (from 2.05° to 1.74°) in task-oriented situations. As such, our work provides new insights into task-oriented attention in virtual environments and guides future work on this important topic in VR research.Haptic sensation plays an important role in providing physical information to users in both real environments and virtual environments. To produce high-fidelity haptic feedback, various haptic devices and tactile rendering methods have been explored in myriad scenarios, and perception deviation between a virtual environment and a real environment has been investigated. However, the tactile sensitivity for touch perception in a virtual environment has not been fully studied; thus, the necessary guidance to design haptic feedback quantitatively for virtual reality systems is lacking. This paper aims to investigate users' tactile sensitivity and explore the perceptual thresholds when users are immersed in a virtual environment by utilizing electrovibration tactile feedback and by generating tactile stimuli with different waveform, frequency and amplitude characteristics. Hence, two psychophysical experiments were designed, and the experimental results were analyzed. We believe that the significance and potential of our study on tactile perceptual thresholds can promote future research that focuses on creating a favorable haptic experience for VR applications.To provide immersive haptic experiences, proxy-based haptic feedback systems for virtual reality (VR) face two central challenges (1) similarity, and (2) colocation. While to solve challenge (1), physical proxy objects need to be sufficiently similar to their virtual counterparts in terms of haptic properties, for challenge (2), proxies and virtual counterparts need to be sufficiently colocated to allow for seamless interactions. To solve these challenges, past research introduced, among others, two successful techniques (a) Dynamic Passive Haptic Feedback (DPHF), a hardware-based technique that leverages actuated props adapting their physical state during the VR experience, and (b) Haptic Retargeting, a software-based technique leveraging hand redirection to bridge spatial offsets between real and virtual objects. Both concepts have, up to now, not ever been studied in combination. This paper proposes to combine both techniques and reports on the results of a perceptual and a psychophysical experiment situated in a proof-of-concept scenario focused on the perception of virtual weight distribution. We show that users in VR overestimate weight shifts and that, when DPHF and HR are combined, significantly greater shifts can be rendered, compared to using only a weight-shifting prop or unnoticeable hand redirection. Moreover, we find the combination of DPHF and HR to let significantly larger spatial dislocations of proxy and virtual counterpart go unnoticed by users. Our investigation is the first to show the value of combining DPHF and HR in practice, validating that their combination can better solve the challenges of similarity and colocation than the individual techniques can do alone.Entering text in virtual environments can be challenging, especially without auxiliary input devices. We investigate text input in virtual reality using hand-tracking and speech. Our system visualizes users' hands in the virtual environment, allowing typing on an auto-correcting midair keyboard. It also supports speaking a sentence and then correcting errors by selecting alternative words proposed by a speech recognizer. We conducted a user study in which participants wrote sentences with and without speech. Using only the keyboard, users wrote at 11 words-per-minute at a 1.2% error rate. Speaking and correcting sentences was faster and more accurate at 28 words-per-minute and a 0.5% error rate. Participants achieved this performance despite half of sentences containing an uncommon out-of-vocabulary word (e.g. proper name). For sentences with only in-vocabulary words, performance using speech and midair keyboard corrections was faster at 36 words-per-minute with a low 0.3% error rate.
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