18271377. POSTURE ESTIMATION APPARATUS, LEARNING MODEL GENERATION APPARATUS, POSTURE ESTIMATION METHOD, LEARNING MODEL GENERATION METHOD, AND COMPUTER-READABLE RECORDING MEDIUM simplified abstract (NEC CORPORATION)
POSTURE ESTIMATION APPARATUS, LEARNING MODEL GENERATION APPARATUS, POSTURE ESTIMATION METHOD, LEARNING MODEL GENERATION METHOD, AND COMPUTER-READABLE RECORDING MEDIUM
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POSTURE ESTIMATION APPARATUS, LEARNING MODEL GENERATION APPARATUS, POSTURE ESTIMATION METHOD, LEARNING MODEL GENERATION METHOD, AND COMPUTER-READABLE RECORDING MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18271377 titled 'POSTURE ESTIMATION APPARATUS, LEARNING MODEL GENERATION APPARATUS, POSTURE ESTIMATION METHOD, LEARNING MODEL GENERATION METHOD, AND COMPUTER-READABLE RECORDING MEDIUM
The posture estimation apparatus described in the abstract uses advanced technology to accurately estimate the posture of a person based on detected joint points in an image.
- Joint point detection unit identifies joint points of a person in an image.
- Reference point specifying unit assigns a preset reference point for each person.
- Attribution determination unit utilizes a learning model to establish the relationship between pixel data and unit vectors, calculating a score to determine the likelihood that a joint point belongs to a specific person.
- Posture estimation unit estimates the posture of the person based on the attribution determination results.
Potential Applications: - Fitness tracking apps - Virtual reality and gaming technology - Healthcare and physical therapy monitoring systems
Problems Solved: - Accurate posture estimation in images - Enhanced person identification in crowded or complex scenes
Benefits: - Improved accuracy in posture estimation - Enhanced user experience in various applications - Potential for personalized fitness and healthcare solutions
Commercial Applications: Title: Advanced Posture Estimation Technology for Fitness and Healthcare Industries This technology can be utilized in fitness tracking apps, virtual reality systems, and healthcare monitoring devices, offering accurate posture estimation for personalized user experiences.
Questions about Posture Estimation Technology: 1. How does the attribution determination unit calculate the score indicating the possibility that a joint point belongs to a specific person? - The attribution determination unit uses a learning model to analyze the relationship between pixel data and unit vectors, determining the likelihood that a joint point belongs to a particular person based on this analysis.
2. What are the key benefits of using this posture estimation technology in virtual reality and gaming applications? - The technology can enhance user experience by accurately tracking and estimating the posture of individuals in virtual reality and gaming environments, leading to more immersive and interactive experiences.
Original Abstract Submitted
The posture estimation apparatus includes a joint point detection unit that detects joint points of a person in an image, a reference point specifying unit that specifies a preset reference point for each person, an attribution determination unit uses a learning model that machine-learns the relationship between a pixel data and the unit vector of the vector starting from a pixel to the reference point, to obtain a relationship between the detected joint points and the reference point of the each person in the image for each detected joint point, and to calculate a score indicating the possibility that the joint point belongs to the person, to determine the person in the image to which the joint point belongs by using the score, a posture estimation unit that estimates the posture of the person based on the result of determination by the attribution determination unit.
