Pose-Based User Identification in Crowded Pickup Scenes

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Solution Overview

Problem

Existing user identification technologies face challenges in accurately identifying a specific user in crowded environments without requiring pre-established characteristic information or high-resolution cameras, especially in scenarios like taxi pickups during peak hours.

Innovation Solution

A user identification device and method that utilizes a transceiver interface and processor to receive device pose information from a target device, analyze real-time images to calculate human body pose information, and compare it with device pose information to identify the target user, using three-degree-of-freedom pose information without the need for pre-established user characteristics or high-resolution cameras.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If image recognition technology with pre-established characteristic information is used, then user identification accuracy is improved, but device complexity and cost increase due to requiring high-resolution cameras and pre-established databases

Engineering Contradiction:

Improveuser identification accuracyVSAvoiddevice complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts only the essential pose information (position and orientation) from the complex user identification problem, eliminating the need for complex facial feature databases and high-resolution cameras. By focusing solely on device pose and corresponding human body pose, the system achieves identification without the complexity of traditional image recognition systems.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent replaces the mechanical/optical system of high-resolution cameras and image processing with a computational approach using pose information from sensors (accelerometers, gyroscopes, magnetometers). This substitution eliminates the need for complex hardware while maintaining identification capability through mathematical comparison of pose data.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Device complexity

If GPS location is used for user identification, then device complexity is reduced, but measurement precision deteriorates due to several meters of error

Engineering Contradiction:

Improvedevice complexityVSAvoidlocation accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent transitions from using only positional information (GPS coordinates - 2D/3D location) to incorporating orientation information as well. By adding the dimension of device orientation (azimuth, pitch, roll angles) to the positional data, the system achieves much higher precision in identifying the specific user among multiple users in the same general location.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

3Measurement precision

If high-resolution cameras are equipped for accurate user identification, then measurement precision is improved, but manufacturing cost and ease of manufacture worsen

Engineering Contradiction:

Improveuser identification accuracyVSAvoidease of manufacture

Core Design Contradiction:

Measurement precisionVSEase of manufacture

Solution Approach 1:

The patent replaces expensive, high-performance hardware (high-resolution cameras) with inexpensive sensor components (accelerometers, gyroscopes, magnetometers) that are already standard in modern devices. This substitution dramatically reduces manufacturing costs while achieving the same identification function through software-based pose comparison rather than hardware-based image capture.

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

4Measurement precision

If feature comparison algorithms are used for user identification, then measurement precision is improved, but computational cost and processing time increase

Engineering Contradiction:

Improveuser identification accuracyVSAvoidcomputational time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent extracts only the essential pose parameters (position coordinates and orientation angles) from the complex image data, eliminating the need for computationally intensive facial feature extraction and comparison. By working directly with pre-acquired pose information from sensors, the system performs simple mathematical comparisons that are computationally efficient and fast.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS20260017976A1User identification device, method and non-transitory computer readable storage medium thereof

Publication Date: 2026.01.15 HTC CORP

AI summary

A user identification device, method, and non-transitory computer readable storage medium thereof are provided. The device receives a device pose information from a target device, the target device is used by a target user, and the device pose information includes a three-degree-of-freedom pose information of the target device. The device analyzes a real-time image including a plurality of users to be identified to calculate a human body pose information corresponding to each of the plurality of users to be identified. The device compares the plurality of human body pose information and the device pose information to identify the target user from the plurality of users to be identified.