The DFRobot heart rate and oximeter sensor integrate the Maxim MAX30102 chip and an MCU with a heart rate and oximetry algorithm.

Features:

APPLICATIONS

Specifications:

The DFRobot heart rate sensor is a thumb-sized heart rate monitor designed for Arduino microcontroller

This heart rate monitor sensor is a pulse sensor that is developed based on PPG techniques. This is a simple and low-cost optical technique that can be used to detect blood volume changes in the microvascular bed of tissues. It is relatively easy to detect the pulsatile component of the cardiac cycle according to this theory. The sensor has two holes that you can use to attach to your belt. You can wrap it on your finger, wrist, earlobe, or other areas where it has contact with your skin.

A gravityInterface is adapted to allow plug & play to ease the barrier of usage.  The io sensor shield is the best option to connect this heart rate sensor with your Arduino or other microcontrollers. Besides, this sensor can also be compatible with raspberry pie, intel Edison, joule, and curie by means of 3.3V Input Voltage.

Features:

1. it is based on PPG techniques
2. It is relatively easy to detect the pulsatile component of the cardiac cycle
3. this sensor can also be compatible with raspberry pie, intel Edison, joule

Specifications:

1. Input Voltage (Vin): 3.3 – 6V (5V recommended)
2. Output Voltage: 0 – Vin (Analog), 0/ Vin (Digital)
3. Operating current: <10mA
4. Dimension: 28 x 24(mm), 1.102″ x 0.945″(in)
5. Interface Type: PH2.0-3P

Package includes:

1 x DFRobot Gravity Heart Rate Monitor Sensor

This EMG sensor is launched by the cooperation of DFRobot and OYMotion, which can detect sEMG to reflect muscle and neural activities of humans. This sensor integrates a filtering circuit and an amplified circuit. It amplifies minimal sEMG within ±1.5mV 1000 times and depresses noises (especially power frequency interference) by differential input and analog filter circuit. The output signal is analog， which takes 1.5V as the reference voltage. The output voltage range is 0~3.0V. The signal strength depends on the intensity of muscle activities. The output signal waveform indicates the muscle activity and contributes to analyzing and researching the sEMG. Specifically, we can use Arduino as a controller to detect muscle activities, e.g. check whether the muscle is tense; the muscle strength, etc.

This is an active induction sensor that can provide high-quality signal collection and it is easy to use. Only simple preparations are needed to apply the module for either static or dynamic areas. The dry electrode is applied to the module and good quality signals are available even without conductive gel.

Features:

1. Metal Dry Electrode: long life, easy to use
2. Differential input, high common mode rejection ratio
3. Low power consumption
4. Single power supply

Specifications:

1. Supply Voltage: +3.3V～5.5V
2. Operating Voltage: +3.0V
3. Detection Range: +/-1.5mV
4. Electrode Connector: PJ-342
5. Module Connector: PH2.0-3P
6. Output Voltage: 0～3.0V
7. Operating Temperature: 0～50℃

Package Includes:

1 x DFRobot Gravity: Analog EMG Sensor by OYMotion

EMG detector is a bridge that connects the human body and electrical, the sensor gathers small muscle signal then process with 2th amplify and filter, the output signal can be recognized by Arduino. You can add this signal to your control system. Note: The sensor cannot be used for medical purposes.

Features :

1. Grove Compatible
2. 6 Disposable Surface Electrodes
3. 1000mm Cable Leads
4. No additional power supply

Package Includes :

1 x SeeedStudio Grove EMG Detector
1 x JST cable
1 x 6 Electrodes
1 x ECG Snap with 3.5mm Aux Audio Jack Medical Lead Wire

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

The DFRobot 3D gesture sensor is an Interactive sensor that integrates 3D gesture recognition and motion tracking. This gesture sensor can be used to detect clockwise/counterclockwise rotation and movement directions.

The gesture sensor is designed based on Microchip patent GestIC® technology, using electric near field sensing technology, including 3D gesture input sensing system and advanced 3D signal processing unit. The effective detection range is 0-10cm. This gesture sensor can be applied to various interactive projects.

Features:

1. It integrates 3D gesture recognition and motion tracking
2. It has advanced 3D signal processing unit
3. this sensor can be used to detect clockwise/counterclockwise rotation and movement directions
4. It is designed based on Microchip patent GestIC® technology with electric near-field sensing technology

Specifications:

1. Operating Voltage: 3.3 – 5V
2. Interface Type: I2C
3. I2C Address: 0x42
4. Gesture Detection Range: 5cm
5. Distance Induction Range: 10cm
6. Dimensions : 72 x 54 mm / 2.83 x 2.12″
7. Operating Temperature: – 20 ℃ ~ + 85 ℃
8. Spatial Resolution: 150 dpi

Package Includes:

1 x DFRobot 3D Gesture Sensor