Existing touchscreen software keyboards prevent users from resting their hands, forcing slow and fatiguing index-finger tapping ("chicken typing") instead of familiar hands-down ten-finger typing. We present KeySense, a purely software solution that preserves physical keyboard motor skills. KeySense isolates intentional taps from resting-finger noise using cognitive-motor timing patterns, and then uses a fine-tuned LLM decoder to convert the resulting noisy letter sequence into the intended word. In controlled component tests, the decoder substantially outperforms two statistical baselines (top-1 accuracy 84.8% vs 75.7% and 79.3%). A 12-participant study shows clear ergonomic and performance benefits: compared with the conventional hover-style keyboard, users rated KeySense as markedly less physically demanding (NASA-TLX median 1.5 vs 4.0), and after brief practice typed significantly faster (WPM 28.3 vs 26.2, p < 0.01). These results indicate that KeySense enables accurate, efficient, and comfortable ten-finger text entry on commodity touchscreens without any extra hardware.

翻译：现有触控屏软键盘要求用户保持双手悬空，迫使其采用缓慢且易疲劳的食指点击方式（"鸡啄米式打字"），而无法使用熟悉的双手十指贴键打字方式。本文提出KeySense——一种完全基于软件的解决方案，能够保留物理键盘的肌肉记忆技能。该系统通过认知运动时序模式区分有意敲击与静止手指产生的噪声，随后使用微调的大语言模型解码器将含噪声的字母序列转换为目标单词。在受控组件测试中，该解码器显著优于两种统计基线方法（top-1准确率分别为84.8% vs 75.7%和79.3%）。一项包含12名参与者的研究显示出明确的工效学与性能优势：与传统悬停式键盘相比，用户认为KeySense的体力负荷显著更低（NASA-TLX中位数1.5 vs 4.0），经过短暂练习后打字速度明显更快（每分钟字数28.3 vs 26.2，p < 0.01）。这些结果表明，KeySense能够在无需额外硬件的情况下，在商用触控屏上实现准确、高效且舒适的十指文本输入。