17983808. ELECTRONIC DEVICE AND METHOD FOR RECOMMENDING USER ACTION BASED ON LOCATION simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
ELECTRONIC DEVICE AND METHOD FOR RECOMMENDING USER ACTION BASED ON LOCATION
Organization Name
Inventor(s)
Junseong Park of Suwon-si (KR)
Hyuncheol Park of Suwon-si (KR)
ELECTRONIC DEVICE AND METHOD FOR RECOMMENDING USER ACTION BASED ON LOCATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 17983808 titled 'ELECTRONIC DEVICE AND METHOD FOR RECOMMENDING USER ACTION BASED ON LOCATION
Simplified Explanation
The patent application describes a technology that includes a communication module, a sensor module, a memory, and a processor. The processor is configured to collect communication signals, predict a location in an indoor space based on the signals, acquire device state information or user action at the predicted location, and provide a recommendation related to the user based on the predicted location, device state information, or user action.
- The technology includes a communication module, sensor module, memory, and processor.
- The processor collects communication signals and predicts a location in an indoor space based on the signals.
- The processor acquires device state information or user action at the predicted location.
- The processor provides a recommendation related to the user based on the predicted location, device state information, or user action.
Potential Applications
This technology has potential applications in various fields, including:
- Indoor navigation systems: The technology can be used to predict a user's location in an indoor space and provide navigation recommendations.
- Smart home automation: By acquiring device state information or user action, the technology can provide personalized recommendations for controlling smart home devices.
- Retail and marketing: The technology can be used to provide targeted recommendations to users based on their location and actions in a retail environment.
- Healthcare: The technology can assist in tracking and monitoring patients in a healthcare facility, providing recommendations based on their location and health status.
Problems Solved
The technology addresses several problems, including:
- Indoor navigation difficulties: By predicting a user's location in an indoor space, the technology can help users navigate complex indoor environments more easily.
- Lack of personalized recommendations: By considering the user's location, device state information, and actions, the technology can provide personalized recommendations tailored to the user's specific needs and preferences.
- Inefficient use of smart home devices: The technology can optimize the use of smart home devices by providing recommendations on when and how to use them based on the user's location and actions.
Benefits
The technology offers several benefits, including:
- Improved user experience: By providing personalized recommendations, the technology enhances the user's overall experience in various contexts, such as navigation, smart home control, retail, and healthcare.
- Increased efficiency: The technology optimizes the use of resources, such as time, energy, and device usage, by providing tailored recommendations based on the user's specific context.
- Enhanced safety and security: By tracking the user's location and actions, the technology can contribute to improved safety and security measures, especially in healthcare and retail environments.
Original Abstract Submitted
Various embodiments of the disclose may include a communication module, a sensor module, a memory; and a processor operatively coupled to at least one of the communication module, the sensor module, and the memory, wherein the processor is configured to: collect one or more communication signals through the communication module, predict a location in an indoor space based on the collected communication signals, acquire device state information or a user action through the sensor module at the predicted location, provide a recommendation related to a user based on at least one of the predicted location, the device state information, or the user action.
