Gesture recognition is a heavily studied and experimented topic around the globe. Tech companies are aggressively spending resources to get a breakthrough. Pushbutton and touch technology is in use for quite a long time. New and better technology is key to capture the market. This made the entire tech industry focus on new technologies. Among them, gesture recognition is most likely to be seen in usage in the coming decades.
This tutorial will learn how gesture sensors work and DIY a small project involving Arduino and gesture sensors. So far, gesture recognition is tried to accomplish using the following:
- Image recognition/Video input through the camera…
- can recognize the gestures but too slow. Latency is way too much. Since a series of images are processed to recognize the gesture, this technique is not feasible for end devices. Also, it consumes a lot of processing power and resources for gesture recognition.
- Radar waves
- Developed and studied by Google inc. This technique is by far the most successful. Google even launched few products using the technology. It works by emitting radar waves and responding to the received waves when bounced back from objects, in our case gesture. Each gesture bounced waves are different but symmetric for the same gesture. The drawback is not all gestures can be covered through radar.
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- Google named the technology as project soli
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- IR(Infrared)
- Through multiple IR sensors, it’s possible to predict a gesture. It’s the cheapest and low-power technique. Requires low processing power and consumes no extra resources.
Gesture sensor APDS-9960 is going to be part of this tutorial. It’s an IR gesture sensor. It communicates with an external controller on the I2C protocol. 3.3v is required for powering it. It’s not only a gesture sensor; you can use it for proximity and RGB color detection.
APDS-9960 and its various versions can be found on mobile phones. You might notice a small red led on the top front of your mobile; it’s actually the same APDS-9960 sensor.
The sensor has an IR led and four photodiodes. IR led emits IR waves. Photodiodes are continuously looking for IR radiation. When an object moves in front of the sensor. IR energy is reflected in photodiodes. Received energy by photodiodes is processed. The object movement’s direction and velocity are calculated, and based on this calculation; the gesture is computed. Limitations are only a few gestures (RIGHT, LEFT, TOP, DOWN, etc.) can be predicted.
On mobile, it is used to turn off the mobile screen during a call. Notice when you bring the mobile near your ear during a call. The mobile screen switches off. To prevent the ear not interfacing with the touch screen. The ear is sensitive to touch, and if the ear hits the call end button, then the call will be dropped. As soon as you move it away from your ear, the screen becomes live again. So, the sensor is working as a proximity sensor. Few vendors also enabled the gesture to move the application windows on mobile left or right or for closing moving the hand up.
The breakout board for APDS-9960 is available online. We can interface it with any microcontroller. In this tutorial, we will interface it with Arduino. The sensor is 3.3v tolerant. I decided to interface it with the Arduino nano, which is also 3.3v tolerant. The circuit diagram of the project is below.
The sensor is powered through 3.3v output of Arduino nano. Arduino nano power regular can easily manage the sensor power requirements. I2c pins of sensor and Arduino nano are connected. The sensor has an interrupt (INT) pin. Normally, the interrupt pin is high; on an external interrupt, it becomes low, indicating an external event. The interrupt pin is connected with pin#2 of Arduino nano.
Project code:
I used SparkFun APDS9960 predefined library in the code. The library is easy to use and equipped with all the configurations required for sensor startup. The library can be downloaded from the Arduino library manager. The sensor can detect only a few gestures UP, DOWN, LEFT, RIGHT, NEAR, FAR none.
attachInterrupt(0, interruptRoutine, FALLING);
Pin#2 is declared as an interrupt pin. Any falling edge on input is a trigger, and Arduino calculates the gesture from the data arrived at the I2C port.
Let’s DIY the above project. Where to buy parts?
Mouser: Arduino Nano
Mouser: Gesture sensor APDS-9600
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Filed Under: Microcontroller Projects
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