Towards Ergonomic Typing: Real-Time Typing Posture Classification on WatchOS

With the increasing prevalence of computer usage, there has been a rise in cases of repetitive strain injuries (RSIs) like Carpal Tunnel Syndrome (CTS) among individuals who spend extended hours typing. Hand pose estimation plays a vital role in improving ergonomic and safe human-computer interaction (HCI). To address this challenge, we propose ErgoType, a real-time hand pose estimation application developed for Apple WatchOS. The application delivers posture classification results directly on the Apple Watch and integrates with a companion iPhone application for detailed feedback. The system employs a Support Vector Machine (SVM) model trained on smartwatch emulator data to analyze key hand-position indicators, such as wrist and elbow angles, achieving a classification accuracy of 98%. Immediate feedback is provided via on-screen notifications, alerting users to poor typing habits such as excessive wrist flexion or prolonged typing without rest. This feedback encourages users to adopt healthier typing practices. ErgoType's combination of wearable technology and real-time feedback offers a proactive solution for reducing typing-related injuries and promoting workplace wellness. It is designed to support both professionals and frequent computer users, enhancing productivity and well-being through improved ergonomics.