PinchKey: A Natural and User-Friendly Approach to VR User Authentication

Author:

Suzuki Mei1ORCID,Iijima Ryo2ORCID,Nomoto Kazuki3ORCID,Ohki Tetsushi4ORCID,Mori Tatsuya5ORCID

Affiliation:

1. Waseda University, Japan

2. National Institute of Advanced Industrial Science and Technology, Japan and Waseda University, Japan

3. Waseda University, Japan and Deloitte Tohmatsu Cyber LLC, Japan

4. Shizuoka University, Japan and RIKEN AIP, Japan

5. Waseda University, Japan and RIKEN AIP, Japan

Funder

JSPS KAKENHI

Publisher

ACM

Reference31 articles.

1. Authentication of Smartphone Users Using Behavioral Biometrics

2. Kyle O Bailey James S Okolica and Gilbert L Peterson. 2014. User Identification and Authentication using Multi-Modal Behavioral Biometrics.

3. John Brooke. 1995. SUS: A quick and dirty usability scale. Usability Eval. Ind. 189 (11 1995), 3–4.

4. Dong Chenge, Zhao Xiao, He Jingxi, Wang Sitong, and Tian Pei. 2021. Signal Processing Based on Gesture Recognition System. In 2021 International Conference on Communications, Information System and Computer Engineering (CISCE). IEEE, 123–126.

5. Alibaba Cloud Community. 2022. Alibaba Rolls Out Deeper Immersive Luxury Shopping Experience In The Metaverse. https://www.alibabacloud.com/blog/alibaba-rolls-out-deeper-immersive-luxury-shopping-experience-in-the-metaverse_599369.

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