Amazon technologies, inc. (20240323907). SENSOR-BASED PRIVACY PROTECTION FOR DEVICES simplified abstract
Contents
SENSOR-BASED PRIVACY PROTECTION FOR DEVICES
Organization Name
Inventor(s)
Jason Gluckman of Encinitas CA (US)
Dan Gilbert Allen of Springville UT (US)
Dotan Bar-on of Rishon Le Zion (IL)
Johannes Obermaier of Paunzhausen (DE)
Andrew James Butler of Bury St. Edmunds (GB)
SENSOR-BASED PRIVACY PROTECTION FOR DEVICES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240323907 titled 'SENSOR-BASED PRIVACY PROTECTION FOR DEVICES
Simplified Explanation: The patent application describes devices and techniques for sensor-based privacy protection for electronic devices, using machine learning models and accelerometer data to determine motion profiles and locations.
Key Features and Innovation:
- Utilizes a machine learning model and accelerometer data to identify predefined motion profiles.
- Determines the location of the electronic device.
- Transmits data indicating the device's location based on the detected motion profile.
Potential Applications: This technology can be applied in various industries such as healthcare, fitness tracking, security systems, and smart home devices.
Problems Solved: Addresses the need for enhanced privacy protection by accurately determining device locations and motion profiles.
Benefits:
- Improved privacy protection for electronic devices.
- Enhanced security features for sensitive data.
- Efficient tracking and monitoring capabilities.
Commercial Applications: Title: Sensor-Based Privacy Protection Technology for Electronic Devices This technology can be commercialized in the fields of wearable technology, IoT devices, and mobile applications, catering to consumers concerned about privacy and security.
Prior Art: Researchers can explore prior patents related to sensor-based privacy protection, machine learning models for motion detection, and location tracking technologies.
Frequently Updated Research: Stay updated on advancements in machine learning algorithms for motion detection, sensor technologies for privacy protection, and location-based services for electronic devices.
Questions about Sensor-Based Privacy Protection Technology: 1. How does this technology improve privacy protection for electronic devices? 2. What are the potential applications of sensor-based privacy protection in healthcare settings?
Original Abstract Submitted
devices and techniques are generally described for sensor-based privacy protection for devices. in some examples, a first machine learning model and first data generated by the accelerometer may be used to determine that the first data corresponds to a predefined motion profile. in various examples, a first location associated with the electronic device may be determined. in some further examples, the wireless transmitter may transmit second data indicating the first location based on the determining that the first data corresponds to quadruped movement.
