New System to Measure Motion Motion-to-Photon Latency of Virtual Reality Head Mounted Display

Xun, Hang; Wang, Yongtian; Weng, Dongdong

doi:10.1109/ismar-adjunct.2019.00029

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…Rotations applied to the Oculus Rift DK2 show latencies in the range of 40-85 ms (Chang et al, 2016;Feldstein & Ellis, 2020;Raaen & Kjellmo, 2015;Seo et al, 2017), though a minority of studies have found latencies in the region of 1-26 ms, depending on the settings (Kijima & Miyajima, 2016;Zhao et al, 2017). Translations applied to the HTC Vive and HTC Vive Pro have shown latencies of about 22 ms (Jones et al, 2019;Niehorster et al, 2017;Xun et al, 2019). Estimated values for other popular headsets, like the Oculus Rift CV1, Oculus Rift S, and Valve Index, are currently absent from the literature.…”

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confidence: 99%

Measuring motion-to-photon latency for sensorimotor experiments with virtual reality systems

et al. 2022

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Consumer virtual reality (VR) systems are increasingly being deployed in research to study sensorimotor behaviors, but properties of such systems require verification before being used as scientific tools. The ‘motion-to-photon’ latency (the lag between a user making a movement and the movement being displayed within the display) is a particularly important metric as temporal delays can degrade sensorimotor performance. Extant approaches to quantifying this measure have involved the use of bespoke software and hardware and produce a single measure of latency and ignore the effect of the motion prediction algorithms used in modern VR systems. This reduces confidence in the generalizability of the results. We developed a novel, system-independent, high-speed camera-based latency measurement technique to co-register real and virtual controller movements, allowing assessment of how latencies change through a movement. We applied this technique to measure the motion-to-photon latency of controller movements in the HTC Vive, Oculus Rift, Oculus Rift S, and Valve Index, using the Unity game engine and SteamVR. For the start of a sudden movement, all measured headsets had mean latencies between 21 and 42 ms. Once motion prediction could account for the inherent delays, the latency was functionally reduced to 2–13 ms, and our technique revealed that this reduction occurs within ~25–58 ms of movement onset. Our findings indicate that sudden accelerations (e.g., movement onset, impacts, and direction changes) will increase latencies and lower spatial accuracy. Our technique allows researchers to measure these factors and determine the impact on their experimental design before collecting sensorimotor data from VR systems.

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mentioning

confidence: 99%

Measuring motion-to-photon latency for sensorimotor experiments with virtual reality systems

et al. 2022

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“…Rotations applied to the Oculus Rift DK2 show latencies in the range of 40-85ms (Chang et al, 2016; Feldstein & Ellis, 2020; Raaen & Kjellmo, 2015; Seo et al, 2017), though a minority of studies have found latencies in the region of 1-26ms depending on the settings (Kijima & Miyajima, 2016; Zhao et al, 2017). Translations applied to the HTC Vive and HTC Vive Pro have shown latencies of about 22ms (Jones et al, 2019; Niehorster et al, 2017; Xun et al, 2019). Estimated values for other popular headsets, like the Oculus Rift CV1, Oculus Rift S, and Valve Index, are currently absent from the literature.…”

mentioning

confidence: 99%

Measuring motion-to-photon latency for sensorimotor experiments with virtual reality systems

Warburton

Mon‐Williams

Mushtaq

et al. 2022

Preprint

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Consumer virtual reality (VR) systems are increasingly being deployed in research to study sensorimotor behaviours, but properties of such systems require verification before being used as scientific tools. The 'motion-to-photon' latency (the lag between a user making a movement and the movement being displayed within the display) is a particularly important metric as temporal delays can degrade sensorimotor performance. Extant approaches to quantifying this measure have involved the use of bespoke software and hardware and produce a single measure of latency and ignore the effect of the motion prediction algorithms used in modern VR systems. This reduces confidence in the generalisability of the results. We developed a novel, system-independent, high-speed camera-based latency measurement technique to co-register real and virtual controller movements, allowing assessment of how latencies change through a movement. We applied this technique to measure the motion-to-photon latency of controller movements in the HTC Vive, Oculus Rift, Oculus Rift S, and Valve Index, using the Unity game engine and SteamVR. For the start of a sudden movement, all measured headsets had mean latencies between 21-42ms. Once motion prediction could account for the inherent delays, the latency was functionally reduced to 2-13ms, and our technique revealed this reduction occurs within ~25-58ms of movement onset. Our findings indicate that sudden accelerations (e.g. movement onset, impacts and direction changes) will increase latencies and lower spatial accuracy. Our technique allows researchers to measure these factors and determine the impact on their experimental design before collecting sensorimotor data from VR systems.

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FineStyle: Semantic-Aware Fine-Grained Motion Style Transfer with Dual Interactive-Flow Fusion

Song,

Jin,

et al. 2023

IEEE Trans. Visual. Comput. Graphics

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New System to Measure Motion Motion-to-Photon Latency of Virtual Reality Head Mounted Display

Cited by 3 publications

References 13 publications

Measuring motion-to-photon latency for sensorimotor experiments with virtual reality systems

Measuring motion-to-photon latency for sensorimotor experiments with virtual reality systems

Measuring motion-to-photon latency for sensorimotor experiments with virtual reality systems

FineStyle: Semantic-Aware Fine-Grained Motion Style Transfer with Dual Interactive-Flow Fusion

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