TypeBoard: Identifying Unintentional Touch on Pressure-Sensitive Touchscreen Keyboards
summary
A pressure-sensitive touchscreen keyboard called TypeBoard uses embedded pressure sensors and a machine-learning classifier to suppress unintentional touches (about 40.83 unintentional touches per 100 keystrokes), achieving 98.88% accuracy in tests. Hardware plus software reduces fatigue and typing errors and boosts speed by ~11.78%; adding tactile stickers as TypeBoard plus further increases speed to ~21.19%. The system is built and evaluated with iterative data collection and prototype studies showing these gains.
AI-written summary · about
chapters (6)
- 0:00Introduction to Typeboard
- 0:55Motivation and design goals
- 2:15Preventing unintentional input
- 3:39Tactile landmarks integration
- 5:04Iterative algorithm design
- 7:16Conclusion and Q&A
related talks
12mTapBoard 2: Simple and Effective Touchpad-like Interaction on a Multi-Touch Surface Keyboard
18mImproving Virtual Keyboards When All Finger Positions Are Known
21mDualKey: Miniature Screen Text Entry via Finger Identification
20mTipText: Eyes-Free Text Entry on a Fingertip Keyboard
20mDriftBoard: A Panning-Based Text Entry Technique for Ultra-Small Touchscreens
12mTyping Haptically: Towards Enabling Non-auditory Smartphone Text Entry with Haptic Feedback for B...
40m"Learn to Touch Type" Glove
13mCommandBoard: Creating a General-purpose Command Gesture Input Space for Soft Keyboards