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Reference: RBD-1354
Length: 8 inches/20 CM (Long) Material: Copper Plated Pin Spacing: 2.54mm.
Reference: RBD-0351
Contactless transmission of data and supply energy (no battery needed) Operating distance: Up to 100mm (depending on antenna geometry) RoboticsBD Operating frequency: 13.56MHz Data transfer: 106 kbit/s Data integrity: 16 Bit CRC, parity, bit coding bit counting Anticollision Typical ticketing transaction: <100 ms ( including backup management)...
Reference: 0245
Choose your desire Resistor value from below:
Reference: 0031
3 Types Available (Please select from option) 1. Male to Male 2. Male to Female 3. Female-Female
Reference: RBD-0768
Size: 5mm Color: RED Head Shape: Round Lens Appearance: Transparent
Reference: 1353
Length: 12.5 inches/30 CM (Long) Material: Copper Plated Pin Spacing: 2.54mm.
Reference: RBD-0761
Breadboard friendly Mounting Style: Through Hole Mounting Direction: Vertical
Based on a SparkFun design.
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Free Ship Over 5000 BDT
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No Replacement
The MyoWare Muscle Sensor by Advancer Technologies is a compact, Arduino-compatible electromyography (EMG) sensor designed to measure and analyze muscle activity. Ideal for robotics, prosthetics, gaming interfaces, and biomedical experimentation, the MyoWare 2.0 allows users to detect electrical activity from muscle movements and convert it into an analog voltage signal that correlates with muscle flex intensity. With an improved chipset and form factor, the sensor offers enhanced performance, accuracy, and ease of integration. It features a snap-on connector system that eliminates the need for soldering, making setup fast and beginner-friendly. The three output modes—Raw, Rectified, and Envelope—offer flexible signal processing for various applications. Lightweight and wearable, it’s a powerful tool for integrating muscle control into modern electronics, microcontrollers, and human-interaction systems. Featured By RoboticsBD.
Product Images are shown for illustrative purposes only and may differ from the actual product.
Note: This product may be based on a SparkFun design, but we are unable to confirm its origin. Please consider it as Made in China for all practical purposes.
Note: MyoWare and the Muscle Sensor are not intended for use in the diagnosis of disease or other conditions, or in the cure, mitigation treatment, or prevention of disease, in a man or other animals.
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Surface EMG Sensing – Detects electric potential generated by muscle movements
Arduino-Compatible – Easily integrates with microcontrollers for DIY or professional projects
No Soldering Required – Snap connector system enables fast setup and prototyping
Three Output Modes – Raw EMG, Rectified, and Envelope signals provide flexible data options
Compact & Wearable Design – Ideal for portable biomedical and control applications
Reverse Polarity Protection – Built-in safety for voltage input connections
Adjustable Gain – Allows signal strength tuning based on use case
Indicator LEDs – VIN and ENV status LEDs assist in monitoring power and signal activity
Expandable via Shields – Seamlessly integrates into larger MyoWare 2.0 systems
Robust Build – Engineered for performance and durability in dynamic environments
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Robotics Control – Use muscle movements to wirelessly operate robotic limbs or systems
Prosthetics Development – Integrate with artificial limbs for real-time human input
Gaming Interfaces – Control video games through flex-based movements
Biomedical Research – Measure muscle performance and monitor rehabilitation progress
Interactive Wearables – Develop smart clothing and gesture-based interfaces
Education and STEM Projects – Ideal for students learning biofeedback and bio-signals
Gesture-Based Automation – Create systems that respond to human flex input in real-time
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| General Specifications | |
| Operating Voltage Range | 2.27V (Min), 3.3V–5V (Typical), 5.47V (Max) |
| Output Modes | Raw EMG, Rectified, Envelope |
| Input Bias Current | 250pA (Typical), 1nA (Max) |
| Reverse Polarity Protection | Yes |
| Connector Type | Snap Connector System |
| Output Range | 0V to VIN (Analog Signal) |
| Indicators | VIN LED, ENV LED |
| Reference Electrode Jumper | Included |
| Expandability | Shield Compatible |
| Adjustable Gain | Yes |
| Compatibility | Arduino, Microcontrollers |
| Board Dimensions | 37.57mm x 35.90mm (1.48” x 1.41”) |
| Form Factor | 3x Female Snap Pins (Input), 3x Male Snap Pins (Output) |
| Shipment Weight | 0.0384 kg |
| Shipment Dimensions | 12 × 10 × 3 cm |
Please allow 5% measuring deviation due to manual measurement.
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1 x MyoWare 2.0 Muscle Sensor
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The latest price of MyoWare 2.0 Muscle Sensor in Bangladesh is BDT 9,950 You can buy the MyoWare 2.0 Muscle Sensor at best price from our RoboticsBD or visit RoboticsBD Office.
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Please note that the product information provided on our website may not be entirely accurate as it is collected from various sources on the web. While we strive to provide the most up-to-date information possible, we cannot guarantee its accuracy. We recommend that you always read the product labels, warnings, and directions before using any product. |
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Product Images are shown for illustrative purposes only and may differ from the actual product. |
Reference: RBD-0094
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Reference: RBD-2639
Connect components on breadboards and PCBs easily.20 pre-crimped jumper wires for versatile use.20cm length for convenient connections.Male-to-male connector design for simple use.Colorful for easy identification and organization.
Reference: RBD-2640
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Reference: RBD-2132
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Reference: RBD-2888
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Reference: RBD-3282
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Reference: RBD-0812
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Reference: RBD-0337
Brand: Waveshare
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Reference: RBD-0422
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Reference: RBD-0411
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Reference: RBD-1737
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Reference: RBD-0102
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Reference: RBD-2152
Brand: Hi-Link
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Reference: RBD-2326
Brand: DFRobot
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Reference: RBD-2214
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Reference: RBD-3581
Brand: DFRobot
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Reference: RBD-2139
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Reference: RBD-0348
A Color-Coded Cable, with a standard male header connectors. Plug it straight into an Arduino or a Breadboard. No soldering is required. The Pulse Sensor has 3 holes around the outside edge which make it easy to sew it into almost anything. Visualization software (made in Processing) to instantly see the output of the sensor and for troubleshooting....
Reference: RBD-3584
Brand: DFRobot
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Reference: RBD-0391
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Reference: RBD-2722
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Reference: RBD-0553
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Reference: RBD-1648
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Reference: RBD-3582
Brand: DFRobot
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Reference: RBD-0142
Description: Fingerprint scanners are awesome. Why use a key when you have one right at the tip of your finger? Unfortunately, they’re usually unreliable or difficult to implement. Well not anymore! We’ve found this great fingerprint module from ADH-Tech that communicates over TTL Serial so you can easily embed it into your next project.
Reference: RBD-0622
Transmission signal processing control chip RCWL-9196 Wide operating voltage range 4.0V to 28.0V Penetrating detection capability, compared with the traditional infrared feeling PIR Adjustable Block time and distance Operating Current: 2.8mA (typical); 3mA (max) Detection Distance: 5-9m Transmitting Power: 20mW (typical); 30mW (max) RoboticsBD
Reference: RBD-1974
Brand: DFRobot
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Reference: RBD-0419
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Reference: RBD-1719
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Reference: RBD-2452
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Reference: RBD-3323
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Reference: RBD-0276
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Reference: RBD-2672
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Reference: RBD-0034
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Reference: RBD-3457
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Reference: RBD-0034
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Reference: RBD-2672
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Reference: RBD-3457
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Reference: RBD-0276
The INA125 is a low-power, high-accuracy instrumentation amplifier with a precision voltage reference. It provides complete bridge excitation and precision differential-input amplification on a single integrated circuit. A single external resistor sets any gain from 4 to 10,000. The INA125 is laser-trimmed for low offset voltage (250µV), low offset drift...
Reference: RBD-2941
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Reference: RBD-2439
Brand: Raspberry Pi Official
Model: Raspberry Pi 5 Model 8GB Ram: LPDDR4X-4267 8GB SDRAM PCIe 2.0 x1 interface for fast peripherals 5V/5A DC power (PD enabled) Real-Time Clock (RTC), powered by an external battery On-board power button!!
Based on a SparkFun design.
