20240023857. System and Method for Recognizing Emotions simplified abstract (Siemens Aktiengesellschaft)
Contents
System and Method for Recognizing Emotions
Organization Name
Inventor(s)
Rebecca Johnson of München (US)
System and Method for Recognizing Emotions - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240023857 titled 'System and Method for Recognizing Emotions
Simplified Explanation
The abstract describes a method for recognizing the emotional tendency of a user based on data recorded by multiple recording or capture devices. The method involves generating primary data for each device, forwarding the primary data to a server, combining the primary data to form data sets for each device, assigning emotional tendencies to each data set, comparing the emotional tendencies occurring at the same time, and generating secondary emotional tendencies of the user based on the comparison.
- The method involves recording and capturing data from multiple devices.
- The primary data from each device is sent to a server.
- The primary data sets for each device are formed by combining the data.
- Emotional tendencies are assigned to each data set individually.
- The emotional tendencies occurring at the same time are compared.
- Secondary emotional tendencies of the user are generated based on the comparison.
Potential applications of this technology:
- Personalized user experience: The technology can be used to understand the emotional state of a user and provide personalized content or recommendations accordingly.
- Mental health monitoring: The method can be utilized to track and analyze emotional tendencies over time, providing insights into the mental well-being of individuals.
- Market research: By analyzing the emotional tendencies of users, companies can gain valuable insights into consumer preferences and tailor their products or services accordingly.
Problems solved by this technology:
- Limited emotional understanding: Traditional methods may not accurately capture the emotional state of a user, whereas this method combines data from multiple devices to provide a more comprehensive understanding.
- Subjective self-reporting: Users may not always accurately report their emotions, but this technology can provide objective data for analysis.
- Real-time emotional analysis: The method allows for the analysis of emotional tendencies as they occur, providing timely insights.
Benefits of this technology:
- Improved user experience: By understanding the emotional tendencies of users, companies can enhance their products or services to better meet their needs.
- Early detection of mental health issues: The technology can help identify potential mental health concerns by analyzing changes in emotional tendencies over time.
- Data-driven decision making: Companies can make informed decisions based on the analysis of emotional tendencies, leading to more targeted marketing strategies and product development.
Original Abstract Submitted
various embodiments of the teachings herein include a method for recognizing the emotional tendency of a user recorded over a defined period by two or more recording and/or capture devices. an example method comprises: generating primary data relating to the user for each device; forwarding the primary data to a server; combining the primary data in the server to form respective primary data sets for each device; assigning each primary data set individually to one or more primarily determined emotional tendencies of the user; generating secondary data by logically comparing the primarily determined emotional tendencies which have occurred at the same time; and generating a result in the form of one or more secondary emotional tendencies of the recorded and/or captured user by processing the secondary data.
