Programmer Special Edition: Sign Language Tracker II
keyinw2 Recap We used a webcam with OpenCV and Google Mediapipe to identify human hands in real time. We then extract the landmarks coordinates, pre-processed it, and saved it into a…
Week 14 – April 26, 2024
Weekly Schedule This week, we’re finalizing our project deliverables: wrapping up files, perfecting documentation, making the trailer, and preparing for next Monday’s final presentation. Also, we’ve received new feature requests…
Week 13 – April 19, 2024
Soft Opening During the soft opening on Monday, our project received valuable feedback from faculty members Mo, Chris, and Dave. While the overall feedback was very positive, there were some…
Week 12 – April 12, 2024
Schedule This Week This week, due to the carnival, we have holidays on Thursday and Friday, leaving us with only three working days. Below is the schedule for this week,…
Week 11 – April 5, 2024
Sign Language Tracker In response to the overfitting issue identified last week in our Sign Language Tracker, we implemented several strategies to improve model performance: Model Adjustment Strategies: We adjusted…
Week 10 – Mar 29, 2024
Parametric Game System Following our discussion last week about the parametric game system, we have extracted several key parameters as listed below. These parameters will be managed through a JSON…
Week 9 – Mar 22, 2024
Design Challenge Last week, we faced the challenge of balancing an engaging game experience with the research needs specified by our client. On one hand, we aim for a game…
Week 8 – Mar 15, 2024
Alphabet Gestures Correction We reached out to Erik Pinter, who is part of the deaf community and the creator of the sign language course on the main campus. In addition…
Week 7 – Mar 1, 2024
Mini Game 3 Iteration Spelling Sweep Following last week’s challenge to finalize the concept for mini game 3, we convened and brainstormed a new idea called “Spelling Sweep.” This game…
Programmer Special Edition: Sign Language Tracker
Tyler Yang has been working on our sign machine learning model since week one. As we approach the half, let’s see what results we’ve got. Phase I – Static Gestures…