Continuous Usage Intention Toward Interactive Mixed Reality Technologies

Lakkis, Hussein; Issa, Helmi

doi:10.4018/ijthi.299068

Cited by 3 publications

(1 citation statement)

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“…The wearable mixed reality device used in this paper is the Hololens glasses developed by Microsoft Corporation. The cameras used by HoloLens are divided into environment perception cameras and depth-of-field cameras [9] . The environment-aware camera captures the real environment image and extracts feature points, matches the feature points of adjacent frame images, and reversely deduces the rotation angle and displacement of the HoloLens through the change of the relative position of the feature points, thereby calculating the motion of the HoloLens.…”

Section: Mr Recognitionmentioning

confidence: 99%

Research on identity authentication and labeling technology based on MR neural network

Yang

Tang²

2023

International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2022)

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Aiming at the problems of poor convenience, poor scalability, and low authentication rate in traditional authentication technology using physical contact authentication methods such as magnetic cards and passwords, this paper explores the accuracy and convenience of the practical application of MR neural network in personal identity authentication. In the MR wearable device, the neural network person identity authentication method is studied flexibly and quickly to detect and identify the person. The 3D information of the face is collected and preprocessed by the depth camera, and the MR identity authentication data set is established. The neural network Resnet model is used for face detection and face feature vector extraction, and the Euclidean method is used to compare the feature vectors and label the characters. The neural network authentication algorithm is mapped to the MR wearable device, and the deep face information in the scene is identified, matched, and labeled by using the unique spatial mapping of MR technology and the camera of the MR wearable device. It solves the problems of low flexibility, poor reliability of face information, and weak recognition stability in traditional identity authentication methods, enabling MR technology to provide a more intelligent identification and labeling method for person identity authentication.

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Section: Mr Recognitionmentioning

confidence: 99%