Privacy-preserving motion analysis

US11734453B2 · kind B2 · utility

Assignee

• International Business Machines Corporation · US

Inventors

• Tian Hao · White Plains, US
• Umar Asif · Melbourne, AU
• Stefan Harrer · Hampton, AU
• Jianbin Tang · Melbourne, AU
• Stefan von Cavallar · Melbourne, AU
• Deval Samirbhai Mehta · Melbourne, AU
• Jeffrey L. Rogers · Redwood City, US
• Erhan Bilal · New York, US
• Stefan Renard Maetschke · Witzenhausen, DE

Key dates

• Filing date: Feb 22, 2021
• Grant date: Aug 22, 2023
• Expiry date: Mar 19, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06V40/53
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A method, a structure, and a computer system for privacy-preserving motion analysis. Embodiments may include collecting data corresponding to a user with one or more sensors and identifying one or more joints of the user based on the data. Embodiments may additionally include generating one or more 3D representations of the one or more joints of the user and anonymizing the one or more 3D representations by applying thereto a joint-centering and a random shuffling. Embodiments may further include classifying one or more actions of the user based on analysing the one or more 3D representations, and exporting at least one of the data and the one or more actions.