Intel corporation (20240193981). HUMAN POSTURE DETECTION simplified abstract
Contents
- 1 HUMAN POSTURE DETECTION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 HUMAN POSTURE DETECTION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about User Posture Technology
- 1.13 Original Abstract Submitted
HUMAN POSTURE DETECTION
Organization Name
Inventor(s)
David Pearce of El Dorado Hills CA (US)
David Stanhill of Hoshaya (IL)
HUMAN POSTURE DETECTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240193981 titled 'HUMAN POSTURE DETECTION
Simplified Explanation
The patent application describes a user computing device with a camera sensor and a depth sensor. The device uses machine learning models to analyze image data and depth data to determine the user's posture and provide feedback.
Key Features and Innovation
- User computing device with camera sensor and depth sensor
- First machine learning model analyzes image data to determine user's posture
- Second machine learning model uses depth data and first feature set to generate a second feature set for posture analysis
- Feedback provided to the user based on the determined posture
Potential Applications
This technology can be used in:
- Fitness tracking devices
- Virtual reality systems
- Healthcare monitoring tools
Problems Solved
- Accurately determining user posture
- Providing real-time feedback to improve posture
Benefits
- Improved user posture
- Enhanced user experience with technology
- Potential health benefits from better posture
Commercial Applications
- Fitness tracking devices for posture correction
- Virtual reality systems for immersive experiences
- Healthcare monitoring tools for patient posture assessment
Prior Art
Researchers can explore prior art related to machine learning models for posture analysis and feedback systems in user computing devices.
Frequently Updated Research
Researchers are continuously developing new machine learning algorithms for posture analysis and feedback systems in user computing devices.
Questions about User Posture Technology
How does this technology improve user experience?
This technology enhances user experience by providing real-time feedback on posture, helping users maintain better posture while using the device.
What are the potential health benefits of using this technology?
Using this technology can lead to improved posture, which can help prevent musculoskeletal issues and promote overall well-being.
Original Abstract Submitted
a user computing device includes a camera sensor and a depth sensor. image data generated by the camera captures an image of a user of the user computing device and is provided as an input to a first machine learning model trained to determine a feature set associated with posture of the user from the image data. depth data generated by the depth sensor contemporaneously with generation of the image data is provided as input to a second machine learning model along with the first feature set to generate a second feature set as an output of the second machine learning model based on the depth data and the first feature set. the posture of the user is determined from the second feature set to provide feedback to the user.
