18157498. FIT PREDICTION BASED ON FEATURE DETECTION IN IMAGE DATA simplified abstract (GOOGLE LLC)

FIT PREDICTION BASED ON FEATURE DETECTION IN IMAGE DATA

Organization Name

GOOGLE LLC

Inventor(s)

Idris Syed Aleem of Kitchener (CA)

Mayank Bhargava of Kitchener (CA)

FIT PREDICTION BASED ON FEATURE DETECTION IN IMAGE DATA - A simplified explanation of the abstract

This abstract first appeared for US patent application 18157498 titled 'FIT PREDICTION BASED ON FEATURE DETECTION IN IMAGE DATA

Simplified Explanation:

This patent application describes a system and method for predicting the fit of a wearable device using image data captured by a computing device, along with the position and orientation of the computing device.

• The system captures a series of frames of image data and detects fixed features within them.
• Position and orientation data of the computing device is combined with the fixed features to extract depth data from the image frames.
• A three-dimensional model is generated based on the extracted depth data.
• The three-dimensional model is processed by a simulator and/or a machine learning model to predict the fit of the wearable device for the user.

Key Features and Innovation:

• Predicting fit of a wearable device using image data and computing device position/orientation.
• Extracting depth data from image frames to create a three-dimensional model.
• Utilizing a simulator and/or machine learning model to predict fit based on the three-dimensional model.

Potential Applications:

This technology could be applied in the fashion industry for virtual fitting rooms, in healthcare for personalized wearable devices, and in sports for optimizing performance gear.

Problems Solved:

This technology addresses the challenge of accurately predicting the fit of wearable devices without physical try-ons, improving user experience and reducing returns.

Benefits:

• Enhanced user experience with personalized fit predictions.
• Cost savings for companies through reduced returns.
• Increased efficiency in designing and manufacturing wearable devices.

Commercial Applications:

Commercially, this technology could revolutionize online shopping experiences, streamline healthcare device customization, and enhance sports gear development.

Prior Art:

Readers interested in prior art related to this technology could explore research on computer vision, machine learning in fashion, and virtual fitting technologies.

Frequently Updated Research:

Researchers in the fields of computer vision, machine learning, and wearable technology may have ongoing studies related to this technology.

Questions about Wearable Device Fit Prediction:

1. How does this technology improve user experience in the fashion industry? 2. What are the potential cost-saving implications for companies implementing this technology?

Original Abstract Submitted

A system and method of predicting fit of a wearable device from image data obtained by a computing device together with position and orientation of the computing device is provided. The system and method may include capturing a series of frames of image data, and detecting one or more fixed features in the series of frames of image data. Position and orientation data associated with the capture of the image data is combined with the position data related to the one or more fixed features, to extract depth data from the series of frames of image data. A three-dimensional model of is generated based on the extracted depth data. The three-dimensional model is processed by a simulator and/or a machine learning model to predict fit of the wearable device for the user.