Fog-Assisted Virtual Reality MMOG with Ultra Low Latency

2019 ◽  
Author(s):  
Tsuyoshi Yoshihara ◽  
Satoshi Fujita
Keyword(s):  
Virtual Reality ◽  
Low Latency

scholarly journals Toward Low-Latency and Ultra-Reliable Virtual Reality

IEEE Network ◽  
2018 ◽  
Vol 32 (2) ◽  
pp. 78-84 ◽  
Author(s):  
Mohammed S. Elbamby ◽  
Cristina Perfecto ◽  
Mehdi Bennis ◽  
Klaus Doppler
Keyword(s):  
Virtual Reality ◽  
Low Latency

scholarly journals Towards Fog-Assisted Virtual Reality MMOG with Ultra-Low Latency

2020 ◽  
Vol 12 (6) ◽  
pp. 33-47
Author(s):  
YOSHIHARA Tsuyoshi ◽  
FUJITA Satoshi
Keyword(s):  
Virtual Reality ◽  
Video Game ◽  
Collision Detection ◽  
Line Of Sight ◽  
Low Latency ◽  
Prototype System ◽  
Head Mounted Display ◽  
3D Game ◽  
Cloud Server ◽  
Conventional Systems

In this paper, we propose a method to realize a virtual reality MMOG (Massively Multiplayer Online Video Game) with ultra-low latency. The basic idea of the proposed method is to introduce a layer consisting of several fog nodes between clients and cloud server to offload a part of the rendering task which is conducted by the cloud server in conventional cloud games. We examine three techniques to reduce the latency in such a fog-assisted cloud game: 1) To maintain the consistency of the virtual game space, collision detection of virtual objects is conducted by the cloud server in a centralized manner; 2) To reflect subtle changes of the line of sight to the 3D game view, each client is assigned to a fog node and the head motion of the player acquired through HMD (Head-Mounted Display) is directly sent to the corresponding fog node; and 3) To offload a part of the rendering task, we separate the rendering of the background view from that of the foreground view, and migrate the former to other nodes including the cloud server. The performance of the proposed method is evaluated by experiments with an AWS-based prototype system. It is confirmed that the proposed techniques achieve the latency of 32.3 ms, which is 66 % faster than the conventional systems.

scholarly journals Low-Latency Haptic Open Glove for Immersive Virtual Reality Interaction

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3682
Author(s):  
DongHyun Sim ◽  
Yoonchul Baek ◽  
MinJeong Cho ◽  
Sunghoon Park ◽  
A. S. M. Sharifuzzaman Sagar ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Motion Tracking ◽  
Absolute Error ◽  
Sensor Data ◽  
Low Latency ◽  
Haptic Devices ◽  
Hand Motion ◽  
Finger Flexion ◽  
Flexion Extension ◽  
Haptic Technology

Recent advancements in telecommunications and the tactile Internet have paved the way for studying human senses through haptic technology. Haptic technology enables tactile sensations and control using virtual reality (VR) over a network. Researchers are developing various haptic devices to allow for real-time tactile sensation, which can be used in various industries, telesurgery, and other mission-critical operations. One of the main criteria of such devices is extremely low latency, as low as 1 ms. Although researchers are attempting to develop haptic devices with low latency, there remains a need to improve latency and robustness to hand sizes. In this paper, a low-latency haptic open glove (LLHOG) based on a rotary position sensor and min-max scaling (MMS) filter is proposed to realize immersive VR interaction. The proposed device detects finger flexion/extension and adduction/abduction motions using two position sensors located in the metacarpophalangeal (MCP) joint. The sensor data are processed using an MMS filter to enable low latency and ensure high accuracy. Moreover, the MMS filter is used to process object handling control data to enable hand motion-tracking. Its performance is evaluated in terms of accuracy, latency, and robustness to finger length variations. We achieved a very low processing delay of 145.37 s per finger and overall hand motion-tracking latency of 4ms. Moreover, we tested the proposed glove with 10 subjects and achieved an average mean absolute error (MAE) of 3.091∘ for flexion/extension, and 2.068∘ for adduction/abduction. The proposed method is therefore superior to the existing methods in terms of the above factors for immersive VR interaction.

Edge Cloud

2019 ◽  
pp. 107-131
Author(s):  
Lucia Agnes Beena Thomas
Keyword(s):  
Cloud Computing ◽  
Virtual Reality ◽  
Cost Saving ◽  
New Technologies ◽  
Smart Cities ◽  
Low Latency ◽  
Battery Life ◽  
Real Time Processing ◽  
Time Processing ◽  
Autonomous Cars

With the proliferation of new technologies such as augmented and virtual reality, autonomous cars, 5G networks, drones, and IOT with smart cities, consumers of cloud computing are becoming the producers of data. Large volume of data is being produced at the edge of the network. This scenario insists the need for efficient real-time processing and communication at the network edge. Cloud capabilities must be distributed across the network to form an edge cloud, which places computing resources where the traffic is at the edge of the network. Edge cloud along with 5G services could also glint the next generation of robotic manufacturing. The anticipated low latency requirement, battery life constraint, bandwidth cost saving, as well as data safety and privacy are also inscribed by edge cloud. A number of giants like Nokia, AT&T, and Microsoft have emerged in the market to support edge cloud. This chapter wraps the features of edge cloud, the driving industries that are providing solutions, the use cases, benefits, and the challenges of edge cloud.

Sign in / Sign up

Export Citation Format

Share Document