Meta platforms technologies, llc (20240207682). Detecting Neuromuscular Signals at a Wearable Device to Facilitate Performance of Physical Activities, and Methods and Systems Thereof simplified abstract
Contents
- 1 Detecting Neuromuscular Signals at a Wearable Device to Facilitate Performance of Physical Activities, and Methods and Systems Thereof
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Detecting Neuromuscular Signals at a Wearable Device to Facilitate Performance of Physical Activities, and Methods and Systems Thereof - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about the Technology
- 1.11 Original Abstract Submitted
Detecting Neuromuscular Signals at a Wearable Device to Facilitate Performance of Physical Activities, and Methods and Systems Thereof
Organization Name
meta platforms technologies, llc
Inventor(s)
Peter Andrew Matsimanis of Menlo Park CA (US)
Pascal Alexander Bentioulis of Malmo (SE)
Tahir Turan Caliskan of Lund (SE)
[[:Category:Per-Erik Bergstr�m of Malmo (SE)|Per-Erik Bergstr�m of Malmo (SE)]][[Category:Per-Erik Bergstr�m of Malmo (SE)]]
Igor Gurovski of Mountain View CA (US)
Detecting Neuromuscular Signals at a Wearable Device to Facilitate Performance of Physical Activities, and Methods and Systems Thereof - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240207682 titled 'Detecting Neuromuscular Signals at a Wearable Device to Facilitate Performance of Physical Activities, and Methods and Systems Thereof
Simplified Explanation
The patent application describes systems and methods for adjusting the rate of physical activity performed by a user wearing a wearable electronic device based on signals detected by neuromuscular-signal sensors.
- Using neuromuscular-signal sensors to detect the user's exertion level during physical activity.
- Automatically adjusting the activity rate if the exertion level deviates significantly from a baseline.
- Enhancing the user's workout experience by optimizing the activity rate in real-time.
Key Features and Innovation
- Utilizing neuromuscular-signal sensors in a wearable electronic device to monitor user exertion levels.
- Adaptive adjustment of the physical activity rate based on detected exertion levels.
- Real-time optimization of the user's workout experience for improved performance.
Potential Applications
- Fitness tracking devices
- Physical therapy monitoring
- Sports performance enhancement
Problems Solved
- Lack of real-time feedback on exertion levels during physical activity.
- Inefficient workout routines due to fixed activity rates.
- Limited ability to customize physical activity based on individual exertion levels.
Benefits
- Enhanced workout efficiency
- Personalized activity rates
- Improved performance and results
Commercial Applications
- Wearable Technology: Revolutionizing Fitness and Health Monitoring
The technology can be applied to wearable fitness trackers, smart clothing, and sports equipment to provide users with real-time feedback on their exertion levels and optimize their physical activity rates for better performance and results.
Questions about the Technology
How does this technology improve user experience during physical activity?
The technology enhances the user experience by automatically adjusting the activity rate based on their exertion levels, ensuring optimal performance and results.
What are the potential implications of this technology in the fitness industry?
This technology has the potential to revolutionize the fitness industry by providing users with personalized workout routines and real-time feedback on their exertion levels, leading to improved performance and results.
Original Abstract Submitted
systems and methods are described for using such signals detected by neuromuscular-signal sensors of a wearable electronic device when a user is performing an activity. methods are described for adaptively adjusting a rate of physical activity performed by a user while the user is wearing the wearable electronic device. an example method includes operations for using one or more sensors located at a wearable electronic device in conjunction with detecting that the user is performing a physical activity at a particular activity rate: (i) detecting, using a neuromuscular-signal sensor located at the wearable electronic device, a level of exertion of the user, and (ii) based on a determination that the level of exertion is different than a baseline level of exertion by at least a threshold amount, determining an adjustment to the particular activity rate while the user is performing the physical activity.
