Sensor Applications

Tilt-Based Interaction

Objective: Use the onboard Gyroscope (LSM6DS33) to detect tilting in different directions and trigger corresponding actions.

1. Read acceleration values.

2. Define threshold values to detect tilts in the X and Y directions.

3. Print messages based on tilt direction:

   • Left tilt → "Tilted Left!"

   • Right tilt → "Tilted Right!"

   • Forward tilt → "Tilted Forward!"

   • Backward tilt → "Tilted Backward!"

4. Instead of printing messages, map tilt direction to onboard NeoPixel colours.

Gesture-Based Control with APDS9960

Objective: Use the gesture sensor (APDS9960) to recognize hand movements and trigger different actions.

1. Enable gesture detection.

2. Read gesture inputs.

3. Print detected gestures:

   • Left swipe → "Left Gesture Detected!"

   • Right swipe → "Right Gesture Detected!"

   • Up swipe → "Up Gesture Detected!"

   • Down swipe → "Down Gesture Detected!"

Digital Compass with Visual Feedback

Objective: Use the magnetometer (LIS3MDL) to determine orientation and display cardinal directions.

1. Read magnetometer data.

2. Compute heading using math.atan2(mag_y, mag_x) * (180 / math.pi).

3. Print the corresponding cardinal direction:

   • 0° to 45° → "North"

   • 45° to 135° → "East"

   • 135° to 225° → "South"

   • 225° to 315° → "West"

4. If using a NeoPixel, change its colour based on the direction.

5. Add a small hysteresis to avoid flickering between directions.

Silent Clap Detector (Sound Level Spike Detection)

Objective: Detect sudden increases in microphone sound level and print a message when a "clap" is detected.

1. Read microphone RMS values using normalized_rms(samples).

2. Set a threshold for detecting a sharp increase in amplitude.

3. Print "Clap detected!" when the threshold is exceeded.

4. Implement a double clap detector by checking if two claps occur within 1 second.

Vibrations Detector using Accelerometer

Objective: Use the accelerometer to detect a strong tap or knock on the board.

1. Continuously read acceleration values.

2. Detect sudden spikes in acceleration above a defined threshold.

3. Print "Knock detected!" when a knock is detected.

4. Count and display the number of knocks detected within a given time frame.