Teachable Machine - Exploring Pose Recognition
Issue 6: Building a "High Five" Pose Classifier
Greetings, machine learning enthusiasts!
We've conquered the world of images and sounds, and now it's time to delve into the exciting realm of movement! This issue, we'll explore the power of pose recognition with Teachable Machine. Get ready to build projects that can actually see your body movements!
Unveiling the Magic of Pose Recognition
Imagine creating a model that can recognize different yoga poses, track your exercise routine, or even control a game character with your movements. That's the potential of pose recognition with Teachable Machine! Here are a few project ideas to ignite your creativity:
Yoga Master: Train a model to identify basic yoga poses like downward-facing dog, warrior pose, or tree pose.
Fitness Tracker: Build a model that tracks your workout routine by recognizing exercises like jumping jacks, squats, or lunges.
Interactive Game: Create a game where your character moves based on your body poses – jump to make your character jump, raise your arms to make them fly!
These are just a springboard for your imagination. The possibilities are endless!
Bringing Your Pose Project to Life
Teachable Machine makes building pose recognition projects surprisingly accessible. Here's a simplified breakdown of the process:
Capture Your Poses: You'll need videos of yourself performing the different poses you want your model to recognize. You can use your webcam, phone camera, or even a friend to help you record.
Tip: Try to capture clear videos from different angles to give your model a more diverse dataset of poses.
Labeling Your Poses: In Teachable Machine, upload short video clips of each pose and assign clear labels. For example, if you're building a yoga project, label your video clips as "downward-facing dog," "warrior pose," or "tree pose."
Train Your Model: Similar to image and audio projects, Teachable Machine will use your labeled video clips to train your model. The more variations of each pose you provide, the better your model will learn to recognize them.
Test and Refine: Once trained, put your model to the test! Perform the poses you trained it on and see how accurately it identifies them. Don't be discouraged if it's not perfect yet! You can always add more video clips or refine your labels for better performance.
Detailed Example: Building a "High Five" Pose Classifier
Let's create a simple model that can recognize a high five pose!
Record Your High Fives: Record short video clips of yourself raising your hand for a high five from different angles (front, side).
Labeling in Teachable Machine: Upload your video clips and label them all as "High Five."
Training and Testing: Train your model using your labeled video clips. Once trained, test it by performing a high five and see if it recognizes the pose!
Improving Your Model (Optional): If your model struggles, you can try recording more high five videos from different distances and lighting conditions.
Activity: Be a Pose Mastermind!
Now it's your turn to unleash your creativity! Here are some prompts to get you started:
What kind of physical activities do you enjoy? Can you think of a way to use pose recognition to make them more interactive?
Imagine you could create a model that recognizes a specific pose, like waving hello. How could that be useful?
How could pose recognition be used to help people with disabilities?
Share your ideas and get inspired by others in the comments below!