Technical Specifications
Warranty Information
All the products supplied by Evelta are genuine and original. We offer 14 days replacement warranty in case of manufacturing defects. For more details, please visit our cancellation and returns page.
All the products supplied by Evelta are genuine and original. We offer 14 days replacement warranty in case of manufacturing defects. For more details, please visit our cancellation and returns page.
The KIT-21267, MyoWare 2.0 Muscle Sensor Basic Kit, is a versatile electronic development tool designed for multiple functions in the realm of wearable design. This kit allows users to sense muscle activity through its MyoWare 2.0 Muscle Sensor, making it ideal for applications related to muscle monitoring and gesture recognition.
MyoWare 2.0 Muscle Sensor Features:
FAQs:
Q: What is the MyoWare 2.0 Muscle Sensor and how does it work?
A: The MyoWare 2.0 is a muscle sensor that uses electromyography (EMG) to measure the electrical activity produced by muscles when they contract. It outputs this data in various formats, allowing you to track muscle activity and use it in your projects.
Q: Do I need a microcontroller to use the MyoWare 2.0 Muscle Sensor Basic Kit?
A: Yes, the MyoWare 2.0 Muscle Sensor is designed to work with a microcontroller. This kit does not include a microcontroller, so you will need to connect it to one separately.
Q: What are the different output modes of the MyoWare 2.0 Muscle Sensor?
A: The sensor has three output modes: raw EMG, rectified EMG, and envelope EMG. Raw EMG is the unprocessed signal, rectified EMG is the absolute value of the signal, and envelope EMG is a smoothed version of the rectified signal.
Q: Is the MyoWare 2.0 Muscle Sensor suitable for wearable applications?
A: Yes, the MyoWare 2.0 Muscle Sensor is designed with a wearable form factor, making it ideal for projects like prosthetics, rehabilitation devices, or gesture-controlled interfaces.
Q: What are the applications of the MyoWare 2.0 Muscle Sensor?
A: The MyoWare 2.0 Muscle Sensor can be used in various applications, including muscle activity monitoring, prosthetics control, rehabilitation devices, gesture-based interfaces, and robotics.