This week, I focused on data collection for the gesture recognition model in our wand project. Specifically, I collected data for six different gestures. Specifically, I recorded 50 samples for each gesture. I manually recorded and labeled each set to ensure the data is consistent. In addition to data collection, I began preliminary data preprocessing, including normalizing the motion data inputs and organizing the dataset into a format compatible with our CNN training pipeline. I also spent time reviewing related research on gesture recognition to identify potential improvements for our model architecture.
My progress is on schedule.
Next week, I plan to work on
- Develop and implement the initial version of the CNN model for gesture recognition.
- Conduct initial training and testing of the model to evaluate baseline performance.
