Apple inc. (20240273990). Detecting Falls Using A Mobile Device simplified abstract

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Detecting Falls Using A Mobile Device

Organization Name

apple inc.

Inventor(s)

Hung A. Pham of Oakland CA (US)

Stephen P. Jackson of San Francisco CA (US)

Vinay R. Majjigi of Mountain View CA (US)

Karthik Jayaraman Raghuram of Mountain View CA (US)

Adeeti V. Ullal of Mountain View CA (US)

Yann Jerome Julien Renard of San Carlos CA (US)

Telford Earl Forgety, Iii of San Jose CA (US)

Detecting Falls Using A Mobile Device - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240273990 titled 'Detecting Falls Using A Mobile Device

Simplified Explanation: The patent application describes a method where a mobile device detects if a user has fallen and assesses the severity of any injuries based on sensor data.

Key Features and Innovation:

  • Mobile device obtains sample data from sensors worn by a user over time.
  • Determines if the user has fallen and the severity of any injuries.
  • Generates notifications based on the fall detection and injury severity.

Potential Applications: This technology can be used in:

  • Elderly care facilities
  • Sports monitoring systems
  • Medical alert systems

Problems Solved:

  • Quick detection of falls for immediate assistance
  • Assessment of injury severity without human intervention

Benefits:

  • Improved safety for users
  • Faster response to emergencies
  • Enhanced monitoring capabilities

Commercial Applications: Title: "Enhancing Safety and Monitoring with Fall Detection Technology" This technology can be marketed to:

  • Healthcare providers
  • Wearable device manufacturers
  • Emergency response services

Prior Art: Prior art related to fall detection technology can be found in research papers, patents, and existing products in the market.

Frequently Updated Research: Researchers are constantly improving fall detection algorithms and sensor technologies to enhance accuracy and reliability.

Questions about Fall Detection Technology: 1. How does this technology differentiate between a fall and other sudden movements?

  - The technology uses sophisticated algorithms to analyze sensor data patterns unique to falls.

2. Can this technology be integrated into existing wearable devices?

  - Yes, this technology can be integrated into various wearable devices for added safety features.


Original Abstract Submitted

in an example method, a mobile device obtains sample data generated by one or more sensors over a period of time, where the one or more sensors are worn by a user. the mobile device determines that the user has fallen based on the sample data, and determines, based on the sample data, a severity of an injury suffered by the user. the mobile device generates one or more notifications based on the determination that the user has fallen and the determined severity of the injury.