Azure Kinect with C Windows Forms Application

Azure Kinect with C Windows Forms Application

Prerequisites
• Visual Studio 2022 or later
• Azure Kinect
• Basic understanding of C and Windows Forms applications

Task 1: Open Camera with Color

Initialize the Azure Kinect sensor and display the color camera feed in a Windows Form.

Implementation Steps

1. Set Up Azure Kinect SDK: Ensure the Azure Kinect SDK is installed and properly configured in your Visual Studio project. Reference the `Microsoft.Azure.Kinect.Sensor` namespace in your code.

2. Initialize Kinect Sensor: Create a method to initialize the Kinect sensor. Use the `Device.Open()` method to open a connection to the sensor.

3. Start Camera: Configure the color camera settings (e.g., resolution and frame rate) and start the camera.

Task 2: Depth Image – Show Depth, Histogram

Display the depth image captured by the Azure Kinect sensor and create a histogram to visualize the depth data distribution.

Implementation Steps

1. Retrieve Depth Frame: Access the depth frame from the sensor using the SDK’s methods.

2. Process Depth Data: Convert the raw depth data into a format suitable for display (e.g., converting depth values to pixel colors).

3. Create Histogram: Analyze the depth data to create a histogram, illustrating the distribution of depth values.

4. Display on Form: Show the depth image and histogram on the form, updating in real-time as new data is received.

Task 3: Pose Show Skeleton, 3D Pose Draw Line on 2 Hands

Track the user’s skeleton and display it, including a specific visualization that draws a line between the two hands in 3D space.

Implementation Steps

1. Enable Body Tracking: Utilize the Azure Kinect Body Tracking SDK to start tracking bodies.

2. Retrieve Skeleton Data: For each tracked body, extract the skeletal joint positions.

3. Visualize Skeleton: Draw the skeleton on the form, including all major joints and connections.

4. Draw Line Between Hands: Calculate the 3D positions of both hands and draw a line between them, updating in real-time.

Task 4: Collision – Ball Collision with the Line

Introduce a virtual ball that collides with the line drawn between the user’s hands.

Implementation Steps

1. Create Virtual Ball: Implement a movable ball within the application’s visual space.

2. Detect Collision: Calculate the position of the ball relative to the line between the hands. Detect collisions based on proximity.

3. Collision Response: When a collision is detected, provide a visual indication and potentially alter the ball’s trajectory.

Please save as four separate projects, with one task assigned to each project.