Context Aware Fall Detection Using a Mobile Device

Organization Name

Inventor(s)

Sriram Venkateswaran of Sunnyvale CA (US)

Parisa Dehleh Hossein Zadeh of San Jose CA (US)

Vinay R. Majjigi of Mountain View CA (US)

Yann Jerome Julien Renard of San Carlos CA (US)

Context Aware Fall Detection Using a Mobile Device - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240233507 titled 'Context Aware Fall Detection Using a Mobile Device

Simplified Explanation: In this example method, a mobile device receives sensor data from sensors worn by a user over a period. The device determines the user's context based on the sensor data, obtains rules specific to the context, assesses the likelihood of a fall or need for assistance, and generates notifications accordingly.

Key Features and Innovation:

Mobile device receives sensor data from user-worn sensors.
Determines user context and obtains context-specific rules for processing data.
Assesses likelihood of fall or need for assistance based on sensor data and rules.
Generates notifications based on likelihood assessment.

Potential Applications: This technology can be applied in healthcare for monitoring elderly or disabled individuals, in sports for tracking athletes' movements, and in security for detecting emergencies.

Problems Solved: This technology addresses the need for real-time monitoring of user activities, especially in situations where immediate assistance may be required.

Benefits:

Enhances user safety and security.
Provides timely assistance in case of emergencies.
Enables personalized monitoring based on user context.

Commercial Applications: Potential commercial applications include wearable technology for healthcare, sports performance monitoring devices, and security systems for public spaces.

Prior Art: Prior art related to this technology may include research on wearable sensors for health monitoring, fall detection systems, and context-aware computing.

Frequently Updated Research: Stay updated on advancements in wearable sensor technology, context-aware computing, and emergency response systems for further insights into this technology.

Questions about the Technology: 1. How does this technology differentiate between a fall and other sudden movements? 2. What are the privacy implications of collecting and processing user data for context-aware notifications?

Original Abstract Submitted

in an example method, a mobile device receives sensor data obtained by one or more sensor over a time period. the one or more sensors are worn by a user. further, the mobile device determines a context of the user based on the sensor data, and obtains a set of rules for processing the sensor data based on the context, where the set of rules is specific to the context. the mobile device determines at least one of a likelihood that the user has fallen or a likelihood that the user requires assistance based on the sensor data and the set of rules, and generates one or more notifications based on at least one of the likelihood that the user has fallen or the likelihood that the user requires assistance.