International business machines corporation (20240107130). AUTOMATIC CONNOTATION FOR AUDIO AND VISUAL CONTENT USING IOT SENSORS simplified abstract
Contents
- 1 AUTOMATIC CONNOTATION FOR AUDIO AND VISUAL CONTENT USING IOT SENSORS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 AUTOMATIC CONNOTATION FOR AUDIO AND VISUAL CONTENT USING IOT SENSORS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 How does the system ensure user privacy and data security?
- 1.11 What is the accuracy rate of the emotion recognition system?
- 1.12 Original Abstract Submitted
AUTOMATIC CONNOTATION FOR AUDIO AND VISUAL CONTENT USING IOT SENSORS
Organization Name
international business machines corporation
Inventor(s)
Dhruv Khurana of Sandy Springs GA (US)
Kristin E. Mcneil of Charlotte NC (US)
AUTOMATIC CONNOTATION FOR AUDIO AND VISUAL CONTENT USING IOT SENSORS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240107130 titled 'AUTOMATIC CONNOTATION FOR AUDIO AND VISUAL CONTENT USING IOT SENSORS
Simplified Explanation
The patent application describes a method for enhancing a user's experience of audio-visual content by analyzing sensor data from an IoT device worn by the user to determine their emotional state and then modifying future audio and/or video frames of the content to match the expected emotion.
- The processor captures sensor data from an IoT device worn by the user.
- The sensor data is analyzed to generate emotional connotations using emotional vector analytics and machine learning techniques.
- The connotations are scored based on similarity to the expected emotion of a second user.
- If the score exceeds a threshold, a suggestion is generated for the producer of the audio-visual content.
Potential Applications
This technology could be applied in:
- Personalized entertainment experiences
- Mental health monitoring and support systems
- Market research for content producers
Problems Solved
This technology addresses issues such as:
- Lack of personalization in audio-visual content
- Limited emotional engagement of users
- Ineffective content creation strategies
Benefits
The benefits of this technology include:
- Enhanced user experience
- Improved emotional connection with content
- Tailored content recommendations
Potential Commercial Applications
Commercial applications of this technology could include:
- Streaming platforms
- Content production companies
- Wearable device manufacturers
Possible Prior Art
One possible prior art for this technology could be emotion recognition systems used in virtual reality applications.
Unanswered Questions
How does the system ensure user privacy and data security?
The article does not provide details on how user data is protected and secured within the system.
What is the accuracy rate of the emotion recognition system?
The article does not mention the accuracy rate of the emotional recognition system in determining user emotions.
Original Abstract Submitted
in an approach for enhancing an experience of a user listening to and/or watching an audio-visual content by modifying future audio and/or video frames of the audio-visual content, a processor captures a set of sensor data from an iot device worn by the first user. a processor analyzes the set of sensor data to generate one or more connotations by converting the emotion using an emotional vector analytics technique and a supervised machine learning technique. a processor scores the one or more connotations on a basis of similarity between the emotion exhibited by the first user and an emotion expected to be provoked by a second user. a processor determines whether a score of the one or more connotations exceeds a pre-configured threshold level. responsive to determining the score does not exceed the pre-configured threshold level, a processor generates a suggestion for the producer of the audio-visual content.
