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Sensing, Recognition, and Prediction Methods / Input Recognition, Touch Modeling, and Interaction Decoding Methods

How can a novel touchpad design overcome the low sensitivity and high power consumption of traditional touchpads?

helpResearch questionInput Recognition, Touch Modeling, and Interaction Decoding Methods

How can a novel touchpad design overcome the low sensitivity and high power consumption of traditional touchpads?

UbiComp '21HTPad: Hexagon-fractal TENG Pad for Scalable Touch Control

Similar questions

helpResearch questionInput Recognition, Touch Modeling, and Interaction Decoding Methods

How can magnetic-field-assisted techniques overcome clock drift between wireless earbuds and smart devices?

UbiComp '23MagSound: Magnetic Field Assisted Wireless Earphone Tracking

helpResearch questionInput Recognition, Touch Modeling, and Interaction Decoding Methods

Can combining magnetic fields and acoustic sensing improve the accuracy and stability of real-time tracking with wireless earbuds?

UbiComp '23MagSound: Magnetic Field Assisted Wireless Earphone Tracking

helpResearch questionInput Recognition, Touch Modeling, and Interaction Decoding Methods

Can the MagSound system enable high-precision applications such as handwriting recognition and expand wireless earbud interaction potential?

UbiComp '23MagSound: Magnetic Field Assisted Wireless Earphone Tracking

helpResearch questionInput Recognition, Touch Modeling, and Interaction Decoding Methods

Can a standard smartphone front camera detect users' phone-holding mode in real time using only body silhouette images?

UIST '21HandyTrak: Recognizing the Holding Hand on a Commodity Smartphone from Body Silhouette Images

helpResearch questionInput Recognition, Touch Modeling, and Interaction Decoding Methods

How can deep learning identify whether users hold phones with left hand, right hand, or both hands?

UIST '21HandyTrak: Recognizing the Holding Hand on a Commodity Smartphone from Body Silhouette Images

helpResearch questionInput Recognition, Touch Modeling, and Interaction Decoding Methods

How can hand-mode recognition accuracy and applicability be improved without additional hardware?

UIST '21HandyTrak: Recognizing the Holding Hand on a Commodity Smartphone from Body Silhouette Images

Related papers

MagSound: Magnetic Field Assisted Wireless Earphone Tracking

Lihao Wang, Wei Wang, Haipeng Dai

HandyTrak: Recognizing the Holding Hand on a Commodity Smartphone from Body Silhouette Images

Hyunchul Lim, David Lin, Jessica Tweneboah

TypeBoard: Identifying Unintentional Touch on Pressure-Sensitive Touchscreen Keyboards

Yizheng Gu, Chun Yu, Xuanzhong Chen