Have your next project be controlled by your muscles with this pack of Muscle Sensor Surface EMG Electrodes! Pair the electrodes with the MyoWare Muscle Sensor and a microcontroller (ie. Arduino, or anything else with analog input reading ability) to create a DIY low-cost version of an EMG or an electromyograph!

This is for hobbyist use only.

Electromyography is an electrodiagnostic medicine technique for evaluating and recording the electrical activity produced by skeletal muscles. Use these sensors in prosthetics, robotics, and so much more!

The H124SG Covidien electrode type has a pre-gelled adhesive side with non-irritating gel, especially developed to prevent allergic reactions. The foam electrode is latex free and therefore suitable for every skin type.

The snap-on connector can easily be pushed on or removed from the electrode lead on the MyoWare. Therefore you have optimal user friendliness as you dispose this electrode after every session! No more greasy electrodes as the H124SG will cover the surface of the electrode. This also extends the life of your electrodes.

Note: My Ware Muscle Sensor and microcontroller not included

Features: 

1. Good electrical characteristics
2. Different base materials, sizes, and connections
3. Monitoring electrode with foam tape and radiolucent stud.
4. ECG Electrode with convenient abrader.
5. ECG Electrode for monitoring applications requiring high adhesion.
6. Adhesive foam tape backing and proprietary sticky gel ensure excellent skin contact.
7. Remains fresh for 30 days out of the bag.
8. High-performance adhesive offers instant adhesion and up to five-day wear with excellent patient skin care and comfort.
9. Stabile derivative
10. Optimized for various applications

Packages Includes:

1 x Adafruit Accessories Muscle Sensor Surface EMG Electrodes – H124SG Covidien – Pack of 6

If you are in the situation of searching for a fingerprint Reader board at a low cost for your DIY project, or if you need to present a complex circuit with the sensor. So, here is the Waveshare Capacitive Fingerprint Reader that will be beneficial for you to build your project within budget.

Waveshare Capacitive Fingerprint Reader has been designed to offer a practical and cost-effective solution for all those projects that need a small and robust board. Learn how to set up the programming environment and get the hardware up and running, ready for your projects, in minutes.

The Capacitive Fingerprint Reader is a standard fingerprinting module designed for secondary development, allows fast and stable fingerprint verification. Based on a high-speed digital processor STM32F105R8, combined with a high-security commercial fingerprinting algorithm, and advanced semiconductor sensor, the Capacitive Fingerprint Reader becomes a simple but smart integration module, provides functionalities like fingerprint enrolling, image processing, feature finding, the template generating and storing, fingerprint matching and searching, etc.

Applications:

1. Fingerprint lock
2. Fingerprint safe deposit box
3. Access control system
4. Clock in and out

Explore more Fingerprint Sensors click the link  Fingerprint Sensor

Features:

1. Easy to use by some simple commands, you don’t have to know any fingerprint technology or the module inter structure/calculation
2. Commercial fingerprinting algorithm, stable performance, fast verification
3. Sensitive detection, just touch the collecting window lightly, without pressing
4. Allows to freely input/output fingerprint images, fingerprint feature files, and other fingerprinting actions
5. Dual communication, UART or USB
6. The processor will enter sleep and wake up when detecting, achieves low power consumption
7. Comes with rich related resources (software on PC, development SDK, tools, and examples for Raspberry/Arduino/STM32)

Package Includes:

1 x Capacitive Fingerprint Reader

1 x PH2.0 wire 20cm 6Pin

Build an awesome interactive project with this PAJ7620U2 gesture sensor! It is an interactive sensor with 3D gesture recognition that can recognize 13 gestures at most within 20cm. The sensor offers stable performance, fast response and high accuracy, which makes it an excellent choice for interactive applications like non-contact remote controllers, interactive robot, gesture-based game devices, smart lighting management, and so on.

There are two recognition modes for this sensor: fast mode (9 gestures) and slow mode (13 gestures). In fast detection mode, the sensor can recognize 9 gestures: move left, right, up, down, forward, backward, clockwise, counter-clockwise, wave. The slow mode can recognize 4 expanded gestures besides the 9 basic ones: slowly move left and right, slowly move up and down, slowly move forward and backward, move randomly. The unit sampling time can be defined by users in this mode. Moreover, users can customize their own gestures if necessary.

Features:

1. Supports for 13 gestures recognition
2. Supports 2 gesture recognition modes
3. Supports user-defined gestures
4. Low power consumption
5. I2C communication

Specifications:

1. Operating Voltage: 3.3V~5.5 V
2. Operating Current: 3.5mA
3. Communication Port: Gravity-I2C 4Pin
4. I2C Address: 0x73
5. Operating Temperature Range: -40℃~85℃
6. Detection Distance: 3cm-20cm
7. Update Rate: 120Hz
8. Ambient Light Immunity: <100k Lux
9. Product Dimension: 30*22mm / 1.18*0.87inches

Package Includes:

1 x DFRobot Gravity PAJ7620U2 Gesture Sensor

The Capacitive Fingerprint Reader (B) is a fast and stable capacitive fingerprint module specialized for secondary development, suits integration applications.
By incorporating a high-performance Cortex core processor, high-security commercial fingerprint algorithm, and advanced semiconductor fingerprint sensor, this module is designed as an intelligent integration module with functions including fingerprint enrolling, image processing, template generating and storing, fingerprint matching, and searching, etc.

Features:

1. Easy to use by some simple commands, you don’t have to know any fingerprint technology, or the module inter structure/calculation
2. The commercial fingerprinting algorithm, stable performance, fast identification
3. Sensitive detection, just touch the collecting window lightly, without pressing
4. Allows to freely input/output fingerprint images, fingerprint feature file and other fingerprinting actions
5. Dual communication, UART or USB
6. Comes with rich development resources (related command documents, tools, and examples for Raspberry Pi/Arduino/STM32)

Package Includes:

1 x Capacitive Fingerprint Reader (B)

1 x PH2.0 5PIN wire

This  R503 DC12V Low Power Consumption Ring Fingerprint Access Control Board is an all-in-one control board with the onboard STM8 microcontroller. This module can act as a standalone system for the fingerprint access control system. The board comes with an onboard relay which is activated by the microcontroller when the fingerprint is detected. The activation time of the relay can be controlled via a multiturn potentiometer, which can be adjusted through 0.5 sec -13 sec.

How To Use:

1. After providing power to the module, the module will be in its initial factory mode where any fingerprint can activate the relay.
2. To register the fingerprint long press the SET  button for 3-4 sec, when the BLUE LED starts blinking it indicates that the module is ready to register the fingerprint.
3. Now place the finger which you want to register on the scanner and after the 5 beeps remove the finger. If you want to add other fingerprints then you can add or wait for some time till the LED stops blinking.
4. After the LED stops blinking you can use the registered fingerprint to activate the relay. When a registered fingerprint is read by the sensor the BLUE led will glow around the sensor and a RED/ORANGE led will glow if an unregistered fingerprint is detected.
5. The SET time of the relay can be adjusted by the multiturn potentiometer.

Features:

1. Low Power Consumption.
2. fingerprint store capacity

Package Includes:

1 x R503 DC12V Low Power Consumption Ring Fingerprint Access Control Board

DFRobot Gravity: MAX30102 heart rate and blood oxygen sensor module integrates the Maxim MAX30102 chip and an MCU with heart rate and blood oxygen algorithm.

The MAX30102 uses PPG(PhotoPlethysmoGraphy) to measure data, which will be converted into heart rate and oximetry values when processed by the MCU, then output through I2C or UART, making the sensor easy to use and greatly reducing resource occupation of the main controller. Meanwhile, the corresponding upper computer is provided to allow you to conveniently read data by a PC.

Note:

• The pressure may change when the finger is directly pressed down the sensor, which will affect the data output. So please try to fix the sensor on your finger.
• Wear the sensor on your finger and there is no difference in the direction of wearing.
• This product is not a professional medical instrument and should not be used as an auxiliary accessory in diagnosis and treatment

Connect with DFRduino UNO R3

Connect with Raspberry Pi

FEATURES

APPLICATIONS

SPECIFICATION

Package Includes:

1 x DFRobot Gravity: MAX30102 Heart Rate and Oximeter Sensor