Meta platforms technologies, llc (20240118749). SYSTEMS FOR CALIBRATING NEUROMUSCULAR SIGNALS SENSED BY A PLURALITY OF NEUROMUSCULAR-SIGNAL SENSORS, AND METHODS OF USE THEREOF simplified abstract
Contents
- 1 SYSTEMS FOR CALIBRATING NEUROMUSCULAR SIGNALS SENSED BY A PLURALITY OF NEUROMUSCULAR-SIGNAL SENSORS, AND METHODS OF USE THEREOF
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEMS FOR CALIBRATING NEUROMUSCULAR SIGNALS SENSED BY A PLURALITY OF NEUROMUSCULAR-SIGNAL SENSORS, AND METHODS OF USE THEREOF - 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 this technology impact battery life in wearable devices?
- 1.11 Are there any limitations to the accuracy of the calibration process?
- 1.12 Original Abstract Submitted
SYSTEMS FOR CALIBRATING NEUROMUSCULAR SIGNALS SENSED BY A PLURALITY OF NEUROMUSCULAR-SIGNAL SENSORS, AND METHODS OF USE THEREOF
Organization Name
meta platforms technologies, llc
Inventor(s)
Bradley Holinski of Jersey City NJ (US)
Brett Schleicher of San Francisco CA (US)
SYSTEMS FOR CALIBRATING NEUROMUSCULAR SIGNALS SENSED BY A PLURALITY OF NEUROMUSCULAR-SIGNAL SENSORS, AND METHODS OF USE THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240118749 titled 'SYSTEMS FOR CALIBRATING NEUROMUSCULAR SIGNALS SENSED BY A PLURALITY OF NEUROMUSCULAR-SIGNAL SENSORS, AND METHODS OF USE THEREOF
Simplified Explanation
The patent application describes methods for calibrating neuromuscular signals sensed by multiple sensors in a wrist-wearable device.
- The method involves receiving a pulse sensed by a sensor in the device in response to a triggering event.
- If the pulse indicates that a sensor is offset from its default position, the method determines the device's worn position on the user's wrist and adjusts signal analysis accordingly.
Potential Applications
This technology could be applied in:
- Fitness trackers
- Physical therapy devices
- Sports performance monitoring
Problems Solved
This technology addresses issues such as:
- Ensuring accurate neuromuscular signal analysis
- Improving user experience with wearable devices
Benefits
The benefits of this technology include:
- Enhanced accuracy of neuromuscular signal data
- Customized analysis based on device position
- Improved user comfort and convenience
Potential Commercial Applications
The potential commercial applications of this technology include:
- Wearable fitness devices
- Medical monitoring devices
- Sports training equipment
Possible Prior Art
One possible prior art is the use of accelerometers in wearable devices to track movement and position. However, the specific calibration of neuromuscular signals based on device position may be a novel aspect of this technology.
Unanswered Questions
How does this technology impact battery life in wearable devices?
The article does not mention how the calibration process may affect the battery life of the wrist-wearable device. This could be an important consideration for users and manufacturers.
Are there any limitations to the accuracy of the calibration process?
The article does not discuss any potential limitations or challenges in calibrating neuromuscular signals based on device position. Understanding the accuracy and reliability of this calibration method is crucial for its practical application.
Original Abstract Submitted
methods for calibrating neuromuscular signals sensed by a plurality of neuromuscular-signal sensors are provided. one example method includes, in response to a triggering event, receiving a pulse sensed by a neuromuscular-signal sensor of a plurality of neuromuscular-signal sensors of a wrist-wearable device. the method also includes, in accordance with a determination that the pulse indicates that at least one neuromuscular-signal sensor of the plurality of neuromuscular-signal sensors of the wrist-wearable device is offset from a respective predetermined default position, determining a worn position of the wrist-wearable device on the user's wrist, and adjusting analysis of neuromuscular signals of the plurality of neuromuscular-signal sensors based on an offset between the worn position of the wrist-wearable device and a predetermined default position of the wrist-wearable device.
