Motion Tracking Shopping Interface for Virtual Try-On
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Solution Overview
Problem
On-line shopping faces challenges in allowing users to accurately assess how articles, such as clothing or furniture, will fit or appear in their environment, as current solutions are limited in providing personalized and interactive experiences.
Innovation Solution
An on-screen shopping application that tracks user motions and displays an on-screen representation of a human target user, allowing interaction with virtual articles, where recognized gestures are translated into commands for transaction control, enabling users to select, position, and manipulate virtual items in a realistic manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If virtual models are built from a library of stock model parts, then the implementation complexity is reduced, but the personalization and accuracy of fitting assessment deteriorates
Solution Approach 1:
The system creates a digital copy (virtual model) of the user's body by capturing real-world measurements through imaging devices and processing the data to generate an accurate virtual representation. This copying approach maintains personalization while using standardized processing methods to control complexity
Solution Approach 2:
The system captures multiple body parameters (dimensions, shape characteristics, posture) and uses these parameter changes to dynamically adjust the virtual model to match the user's actual body. This allows accurate fitting assessment without requiring complex manual modeling
2Ease of operation
If motion tracking and gesture recognition are implemented, then the interactivity and user experience are improved, but the device complexity and processing requirements increase
Solution Approach 1:
The system replaces traditional mechanical input devices (keyboards, mice, controllers) with motion tracking and gesture recognition technology. Users interact with the virtual model through natural body movements captured by imaging devices, eliminating the need for complex physical interfaces while enhancing ease of operation
Solution Approach 2:
The system introduces an intermediary layer (gesture recognition software and motion processing algorithms) that translates physical movements into digital commands. This intermediary enables natural interaction without requiring users to learn complex control schemes, balancing ease of use with manageable system complexity
3Speed
If real-time motion tracking is performed, then the responsiveness and realism of virtual try-on are improved, but the processing time and computational load increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing body measurement data, creating the virtual model in advance, and preparing the article library before user interaction. This preliminary preparation reduces real-time computational requirements while maintaining fast response during actual try-on sessions
Solution Approach 2:
The system segments the processing tasks into distinct stages: initial body scanning and virtual model creation, article selection and rendering, and real-time adjustment during interaction. This segmentation allows computationally intensive tasks to be performed offline or in batches, reducing real-time energy consumption while maintaining responsiveness
Data Source
AI summary
An on-screen shopping application which reacts to a human target user's motions to provide a shopping experience to the user is provided. A tracking system captures user motions and executes a shopping application allowing a user to manipulate an on-screen representation the user. The on-screen representation has a likeness of the user or another individual and movements of the user in the on-screen interface allows the user to interact with virtual articles that represent real-world articles. User movements which are recognized as article manipulation or transaction control gestures are translated into commands for the shopping application.