The Accuracy and Precision of Position and Orientation Tracking in the HTC Vive Virtual Reality System for Scientific Research

Niehorster, Diederick C; Li, Li; Lappe, Markus

doi:10.1177/2041669517708205

Cited by 418 publications

(306 citation statements)

References 19 publications

Supporting

Mentioning

294

Contrasting

Unclassified

Order By: Relevance

“…This was used to mark a look up by the participant. To check if our results were sensitive to any measurement errors inherent in the hardware [29], we conducted a sensitivity analysis +28 about this threshold.…”

Section: Discussionmentioning

confidence: 99%

“…Data were recorded at 10 Hz to ensure that virtual environment display had minimal lag and maintained a refresh rate of at least 60 Hz for the participant. Prior to analysis, the data were detrended to remove the average position and orientation values across the full trial to compensate for any bias due to preferred head orientation and offsets [29], unwrapped to remove any sudden jumps in orientation that were larger than 3608 and re-referenced with respect to the first sample. Data of two subjects had to be removed from the analysis, one where the audio did not work properly, and another where the audio instructions were misunderstood leading to inactivity.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Drawing power of virtual crowds

Jorjafki

Sagarin

Butail

2018

J. R. Soc. Interface.

View full text Add to dashboard Cite

In 1969, social psychologist Milgram and his colleagues conducted an experiment on a busy city street where passers-by witnessed a set of actors spontaneously looking up towards a building. The experiment showed that the crowd's propensity to mimic the actor's gaze increased with the number of actors that looked up. This form of behavioural contagion is found in many social organisms and is central to how information travels through large groups. With the advancement of virtual reality and its continued application towards understanding human response to crowd behaviour, it remains to be verified if behavioural contagion occurs in walkable virtual environments, and how it compares with results from real-world experiments. In this study, we adapt Milgram's experiment for virtual environments and use it to reproduce behavioural contagion. Specifically, we construct a replica of an indoor location and combine two established pedestrian motion models to create an interactive crowd of 60 virtual characters that walk through the indoor location. The stimulus group comprised a subset of the characters who look up at a random time as the participants explore the virtual environment. Our results show that the probability of looking up by a participant is dependent on the size of the stimulus group saturating to near certainty when three or more characters look up. The role of stimulus size was also evident when participant actions were compared with survey responses which showed that more participants selected to not look up even though they saw characters redirect their gaze upwards when the size of the stimulus group was small. Participants also spent more time looking up and exhibited frequent head turns with a larger stimulus group. Results from this study provide evidence that behavioural contagion can be triggered in the virtual environment, and can be used to build and test complex hypotheses for understanding human behaviour in a variety of crowd scenarios.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Drawing power of virtual crowds

Jorjafki

Sagarin

Butail

2018

J. R. Soc. Interface.

View full text Add to dashboard Cite

show abstract

“…We attach the HTC Vive controller to the smartphone using tape and use the HTC Lighthouse positioning system to track its motion. Since the Lighthouse positioning system has an accuracy of around 1mm [25], we still use it as the ground truth.…”

Section: Discussionmentioning

confidence: 99%

MilliSonic

Wang

Gollakota

2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

Recent years have seen interest in device tracking and localization using acoustic signals. State-of-the-art acoustic motion tracking systems however do not achieve millimeter accuracy and require large separation between microphones and speakers, and as a result, do not meet the requirements for many VR/AR applications. Further, tracking multiple concurrent acoustic transmissions from VR devices today requires sacrificing accuracy or frame rate. We present Mil-liSonic, a novel system that pushes the limits of acoustic based motion tracking. Our core contribution is a novel localization algorithm that can provably achieve sub-millimeter 1D tracking accuracy in the presence of multipath, while using only a single beacon with a small 4-microphone array. Further, MilliSonic enables concurrent tracking of upto four smartphones without reducing frame rate or accuracy. Our evaluation shows that MilliSonic achieves 0.7mm median 1D accuracy and a 2.6mm median 3D accuracy for smartphones, which is 5x more accurate than state-of-the-art systems. Mil-liSonic enables two previously infeasible interaction applications: a) 3D tracking of VR headsets using the smartphone as a beacon and b) fine-grained 3D tracking for the Google Cardboard VR system using a small microphone array. CCS CONCEPTS• Human-centered computing → Pointing; Ubiquitous and mobile computing systems and tools; ACM Reference Format:

show abstract

“…The body of the headset also contains a camera, movement sensors, a switch with an On/Off light and a swivel controller to set the distance of the optical lenses. The field of view is 110° and, together with the 32 sensors, tracks movement within the entire 360° range [4].…”

Section: B Properties and Parameters Of The Htc Vive 1) Headsetmentioning

confidence: 99%

Virtual Reality as Support of Cognitive Behavioral Therapy in Social Anxiety Disorder

Kovar¹

2018

International Journal on Advanced Science, Engineering and Information Technology

View full text Add to dashboard Cite

The subject of this article is the use of virtual reality as part of cognitive-behavioural therapy for inhabitants of Zlin with social anxiety disorder. A high percentage of people suffer this disorder during their lives. However, not everyone is able to cope with the situation on their own, and some have to seek professional help, which often takes several months or even years. Therefore, this research presents a method that could speed up therapy and reduce the use of pharmaceuticals. The research works with a group of people who have undergone special tests to examine their social anxiety disorder and to gauge their ability to speak fluently and their reaction speed. The first half of the people than attend regular therapeutic sessions, while the second group attends therapeutic sessions that use virtual reality. This provides space for creating anxiety situations that can be worked with. Finally, all the people are then retested to determine the difference that has occurred during the therapy between the two groups, proving the effectiveness of the new method using virtual reality.

show abstract

The Accuracy and Precision of Position and Orientation Tracking in the HTC Vive Virtual Reality System for Scientific Research

Cited by 418 publications

References 19 publications

Drawing power of virtual crowds

Drawing power of virtual crowds

MilliSonic

Virtual Reality as Support of Cognitive Behavioral Therapy in Social Anxiety Disorder

Contact Info

Product

Resources

About