HTC Vive: Analysis and Accuracy Improvement

Borges, Miguel de Aboim; Symington, Andrew; Coltin, Brian; Smith, Trey; Ventura, Rodrigo

doi:10.1109/iros.2018.8593707

Cited by 116 publications

(140 citation statements)

References 7 publications

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“…Observing the metrics over all the subjects as a function of the repetition number (see boxplots in Figure 4), no obvious influence from fatigue is evident and there is only a slight improvement visible between the very first and the following repetitions, due most likely to learning effect. The absolute precision of the Vive tracking system has been assessed as sub-millimetric in a static configuration [21,22] and, reasonably, the positioning accuracy of the target in VR was in the same range. Given this fact, the average tracking precision of 66mm obtained by the subjects seems appropriate.…”

Section: Discussionmentioning

confidence: 99%

“…The visor uses two light sources to determine its own orientation and position, although in this experiment only the orientation of the visor was needed. The precision of the Vive system, measured using a "tracker," is sub-millimetric in a static configuration [21,22]. The position of the avatar's head was determined using forward kinematics based on the data coming in from the BodyRig system together with the orientation of the head as measured by the visor itself.…”

Section: Methodsmentioning

confidence: 99%

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Human-In-The-Loop Assessment of an Ultralight, Low-Cost Body Posture Tracking Device

Sierotowicz

Connan

Castellini

2020

Sensors

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In rehabilitation, assistive and space robotics, the capability to track the body posture of a user in real time is highly desirable. In more specific cases, such as teleoperated extra-vehicular activity, prosthetics and home service robotics, the ideal posture-tracking device must also be wearable, light and low-power, while still enforcing the best possible accuracy. Additionally, the device must be targeted at effective human-machine interaction. In this paper, we present and test such a device based upon commercial inertial measurement units: it weighs 575 g in total, lasts up to 10.5 h of continual operation, can be donned and doffed in under a minute and costs less than 290 EUR. We assess the attainable performance in terms of error in an online trajectory-tracking task in Virtual Reality using the device through an experiment involving 10 subjects, showing that an average user can attain a precision of 0.66 cm during a static precision task and 6.33 cm while tracking a moving trajectory, when tested in the full peri-personal space of a user.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Human-In-The-Loop Assessment of an Ultralight, Low-Cost Body Posture Tracking Device

Sierotowicz

Connan

Castellini

2020

Sensors

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“…Companies that produce VR device packages, such as Oculus and HTC, use trackable hand controllers to provide in-system interaction and presence to the user. So, by holding the controllers while the user moves their hands, they can see their virtual hands move in the virtual environment in real time [36,37]. There have even been efforts to include wearable motion tracking in VR systems, such as a wearable glove in [38].…”

Section: Related Workmentioning

confidence: 99%

Comparison between Full Body Motion Recognition Camera Interaction and Hand Controllers Interaction used in Virtual Reality Exposure Therapy for Acrophobia

Kritikos

Zoitaki

Tzannetos

et al. 2020

Sensors

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Virtual Reality has already been proven as a useful supplementary treatment tool for anxiety disorders. However, no specific technological importance has been given so far on how to apply Virtual Reality with a way that properly stimulates the phobic stimulus and provide the necessary means for lifelike experience. Thanks to technological advancements, there is now a variety of hardware that can help enhance stronger emotions generated by Virtual Reality systems. This study aims to evaluate the feeling of presence during different hardware setups of Virtual Reality Exposure Therapy, and, particularly how the user’s interaction with those setups can affects their sense of presence during the virtual simulation. An acrophobic virtual scenario is used as a case study by 20 phobic individuals and the Witmer–Singer presence questionnaire was used for presence evaluation by the users of the system. Statistical analysis on their answers revealed that the proposed full body Motion Recognition Cameras system generates a better feeling of presence compared to the Hand Controllers system. This is thanks to the Motion Recognition Cameras, which track and allow display of the user’s entire body within the virtual environment. Thus, the users are enabled to interact and confront the anxiety-provoking stimulus as in real world. Further studies are recommended, in which the proposed system could be used in Virtual Reality Exposure Therapy trials with acrophobic patients and other anxiety disorders as well, since the proposed system can provide natural interaction in various simulated environments.

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“…Research about eye-tracking data quality in VR is limited (Lohr et al, 2019), with most studies investigating the head-mounted display's (HMD) tracking accuracy (Niehorster et al, 2017;Borges et al, 2018;Peer et al, 2018;Groves et al, 2019). The present study represents a pilot study to evaluate the usability of the HTC Vive Pro Eye integrated eye-tracker (Vive, 2019a) for a visual field (VF) testing and simulation of low vision.…”

Section: Introductionmentioning

confidence: 99%

Eye-tracking for low vision with virtual reality (VR): testing status quo usability of the HTC Vive Pro Eye

Sipatchin

Wahl

Rifai

2020

Preprint

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BackgroundAdding an eye tracker inside a head-mounted display (HMD) can offer a variety of novel functions in virtual reality (VR). Promising results point towards its usability as a flexible and interactive tool for low vision assessments and research of low vision functional impairment. Visual field (VF) perimetry performed using VR methodologies evidenced a correlation between the reliability of visual field testing in VR and the Humphrey test. The simulation of visual loss in VR is a powerful method used to investigate the impact and the adaptation to visual diseases. The present study presents a preliminary assessment of the HTC Vive Pro Eye for its potential use for these applications.MethodsWe investigated data quality over a wide visual field and tested the effect of head motion. An objective direct end-to-end temporal precision test simulated two different scenarios: the appearance of a pupil inside the eye tracker and a shift in pupil position, known as artificial saccade generator. The technique is low-cost thanks to a Raspberry Pi system and automatic.ResultsThe target position on the screen and the head movement limit the HTC Vive Pro Eye’s usability. All the simulated scenarios showed a system’s latency of 58.1 milliseconds (ms).ConclusionThese results point towards limitations and improvements of the HTC Vive Pro Eye’s status quo for visual loss simulation scenarios and visual perimetry testing.

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HTC Vive: Analysis and Accuracy Improvement

Cited by 116 publications

References 7 publications

Human-In-The-Loop Assessment of an Ultralight, Low-Cost Body Posture Tracking Device

Human-In-The-Loop Assessment of an Ultralight, Low-Cost Body Posture Tracking Device

Comparison between Full Body Motion Recognition Camera Interaction and Hand Controllers Interaction used in Virtual Reality Exposure Therapy for Acrophobia

Eye-tracking for low vision with virtual reality (VR): testing status quo usability of the HTC Vive Pro Eye

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