lightbulbPractical problemInput Recognition, Touch Modeling, and Interaction Decoding Methods
Users performing precise operations with wireless earbuds are vulnerable to clock drift and weak acoustic signals.Sensing, Recognition, and Prediction Methods / Input Recognition, Touch Modeling, and Interaction Decoding Methods
Users performing precise operations with wireless earbuds are vulnerable to clock drift and weak acoustic signals.
Similar questions
lightbulbPractical problemInput Recognition, Touch Modeling, and Interaction Decoding Methods
Large-screen phones are difficult to operate, especially for one-handed touch.lightbulbPractical problemInput Recognition, Touch Modeling, and Interaction Decoding Methods
Touchscreen keyboards misrecognize unintentional touches, affecting input efficiency and UX.lightbulbPractical problemInput Recognition, Touch Modeling, and Interaction Decoding Methods
Smartwatch screens are small, making it difficult for users to input text efficiently and naturally.UbiComp '21Write, Attend and Spell: Streaming End-to-end Free-style Handwriting Recognition Using Smartwatches
lightbulbPractical problemInput Recognition, Touch Modeling, and Interaction Decoding Methods
Users are affected by low precision and high power consumption when using traditional touchpads.UbiComp '21HTPad: Hexagon-fractal TENG Pad for Scalable Touch Control
Related papers
UbiComp 2023
MagSound: Magnetic Field Assisted Wireless Earphone Tracking
Lihao Wang, Wei Wang, Haipeng Dai
UIST 2021
HandyTrak: Recognizing the Holding Hand on a Commodity Smartphone from Body Silhouette Images
Hyunchul Lim, David Lin, Jessica Tweneboah
UIST 2021
TypeBoard: Identifying Unintentional Touch on Pressure-Sensitive Touchscreen Keyboards
Yizheng Gu, Chun Yu, Xuanzhong Chen