Implementing Continuous-Azimuth Binaural Sound in Unity 3D

Wolf, Mario; Trentsios, Pascalis; Kubatzki, Niklas; Urbanietz, Christoph; Enzner, Gerald

doi:10.1109/vrw50115.2020.00083

Cited by 4 publications

(1 citation statement)

References 14 publications

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“…Machine learning [ 23 ], according to the specialized literature, includes both unsupervised learning [ 24 ] and supervised learning. Supervised learning [ 25 ] is based on a training model that uses a set of labeled data.…”

Section: Software Application Developmentmentioning

confidence: 99%

Development of a Virtual Reality Simulator for an Intelligent Robotic System Used in Ankle Rehabilitation

Covaciu

Pîslă

Iordan

2021

Sensors

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The traditional systems used in the physiotherapy rehabilitation process are evolving towards more advanced systems that use virtual reality (VR) environments so that the patient in the rehabilitation process can perform various exercises in an interactive way, thus improving the patient’s motivation and reducing the therapist’s work. The paper presents a VR simulator for an intelligent robotic system of physiotherapeutic rehabilitation of the ankle of a person who has had a stroke. This simulator can interact with a real human subject by attaching a sensor that contains a gyroscope and accelerometer to identify the position and acceleration of foot movement on three axes. An electromyography (EMG) sensor is also attached to the patient’s leg muscles to measure muscle activity because a patient who is in a worse condition has weaker muscle activity. The data collected from the sensors are taken by an intelligent module that uses machine learning to create new levels of exercise and control of the robotic rehabilitation structure of the virtual environment. Starting from these objectives, the virtual reality simulator created will have a low dependence on the therapist, this being the main improvement over other simulators already created for this purpose.

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Section: Software Application Developmentmentioning

confidence: 99%

Development of a Virtual Reality Simulator for an Intelligent Robotic System Used in Ankle Rehabilitation

Covaciu

Pîslă

Iordan

2021

Sensors

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Sound localization in web-based 3D environments

Rajguru

Brianza

Memoli

2022

Sci Rep

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Sound delivery is a key aspect of immersivity in virtual and augmented reality (VR/AR), with studies hinting at a correlation between users’ ability to locate sounds around them and the ‘feeling of being there’. This is particularly true for WebVR, a method of delivering immersive experiences through a local web browser that has recently captured attention in multiple industries. In WebVR, audio is the main spatial cue. Designers need to select the correct number of sound sources so that users perceive the location of incoming sound correctly. Information on how users localize sound is essential. Sound localization experiments, so far, have been run only in empty spaces or closed rooms, without clear indications for designers in WebVR. Thus, in this study, we investigate sound localization directly through WebVR. To do so, we designed a traditional empty room for training and a city-like virtual environment for testing purposes. In our paper, we also discuss key design parameters, differences in perception for vertical and horizontal directions, the impact of training, and the role of changing virtual environments. In addition, we introduce and test a new sound cue along with the traditional pink noise sound to measure and explore the impact of different sound cues in different environments. The results demonstrate the potential of exploring sound localization using WebVR, and our study will support the development of virtual experiences in human-computer interaction that may be able to reach a large number of participants using a local web browser.

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Extended Reality (XR) Toward Building Immersive Solutions: The Key to Unlocking Industry 4.0

Alhakamy

2024

ACM Comput. Surv.

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When developing XR applications for Industry 4.0, it is important to consider the integration of visual displays, hardware components, and multimodal interaction techniques that are compatible with the entire system. The potential use of multimodal interactions in industrial applications has been recognized as a significant factor in enhancing humans’ ability to perform tasks and make informed decisions. To offer a comprehensive analysis of the current advancements in industrial XR, this review presents a structured tutorial that provides answers to the following research questions: (R.Q.1) What are the similarities and differences between XR technologies, including augmented reality (AR), mixed reality (MR), Augmented Virtuality (AV), and virtual reality (VR) under Industry 4.0 consideration? (R.Q.2) What types of visual displays and hardware devices are needed to present XR for Industry 4.0? (R.Q.3) How did the multimodal interaction in XR perceive and relate to Industry 4.0? (R.Q.4) How have modern adaptations of XR technologies dealt with the theme of Industry 4.0? (R.Q.5) How can XR technologies in Industry 4.0 develop their services and usages to be more solution-inclusive? This review showcases various instances that demonstrate XR’s potential to transform how humans interact with the physical world in Industry 4.0. These advancements can increase productivity, reduce costs, and enhance safety.

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Implementing Continuous-Azimuth Binaural Sound in Unity 3D

Cited by 4 publications

References 14 publications

Development of a Virtual Reality Simulator for an Intelligent Robotic System Used in Ankle Rehabilitation

Development of a Virtual Reality Simulator for an Intelligent Robotic System Used in Ankle Rehabilitation

Sound localization in web-based 3D environments

Extended Reality (XR) Toward Building Immersive Solutions: The Key to Unlocking Industry 4.0

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