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Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes
JO Wobbrock, AD Wilson, Y Li - Proceedings of the 20th annual ACM …, 2007 - dl.acm.org
Although mobile, tablet, large display, and tabletop computers increasingly present
opportunities for using pen, finger, and wand gestures in user interfaces, implementing …
opportunities for using pen, finger, and wand gestures in user interfaces, implementing …
Gestures as point clouds: a $ P recognizer for user interface prototypes
RD Vatavu, L Anthony, JO Wobbrock - Proceedings of the 14th ACM …, 2012 - dl.acm.org
Rapid prototy** of gesture interaction for emerging touch platforms requires that
developers have access to fast, simple, and accurate gesture recognition approaches. The …
developers have access to fast, simple, and accurate gesture recognition approaches. The …
[PDF][PDF] A lightweight multistroke recognizer for user interface prototypes
L Anthony, JO Wobbrock - Proceedings of Graphics Interface …, 2010 - faculty.washington.edu
With the expansion of pen-and touch-based computing, new user interface prototypes may
incorporate stroke gestures. Many gestures comprise multiple strokes, but building state-of …
incorporate stroke gestures. Many gestures comprise multiple strokes, but building state-of …
A machine learning approach to detect changes in gait parameters following a fatiguing occupational task
A Baghdadi, FM Megahed, ET Esfahani, LA Cavuoto - Ergonomics, 2018 - Taylor & Francis
The purpose of this study is to provide a method for classifying non-fatigued vs. fatigued
states following manual material handling. A method of template matching pattern …
states following manual material handling. A method of template matching pattern …
An image-based, trainable symbol recognizer for hand-drawn sketches
LB Kara, TF Stahovich - Computers & Graphics, 2005 - Elsevier
We describe a trainable, hand-drawn symbol recognizer based on a multi-layer recognition
scheme. Symbols are internally represented as binary templates. An ensemble of four …
scheme. Symbols are internally represented as binary templates. An ensemble of four …
Combining geometry and domain knowledge to interpret hand-drawn diagrams
L Gennari, LB Kara, TF Stahovich, K Shimada - Computers & Graphics, 2005 - Elsevier
One main challenge in building interpreters for hand-drawn sketches is the task of parsing a
sketch to locate the individual symbols. Many existing pen-based systems avoid this …
sketch to locate the individual symbols. Many existing pen-based systems avoid this …
Online goal recognition through mirroring: Humans and agents
M Vered, GA Kaminka, S Biham - Annual Conference on …, 2016 - research.monash.edu
Goal recognition is the problem of inferring the (unobserved) goal of an agent, based on a
sequence of its observed actions. Inspired by mirroring processes in human brains, we …
sequence of its observed actions. Inspired by mirroring processes in human brains, we …
Modeling human activity from voxel person using fuzzy logic
D Anderson, RH Luke, JM Keller… - … on Fuzzy Systems, 2008 - ieeexplore.ieee.org
As part of an interdisciplinary collaboration on elder-care monitoring, a sensor suite for the
home has been augmented with video cameras. Multiple cameras are used to view the …
home has been augmented with video cameras. Multiple cameras are used to view the …
Improving gesture recognition accuracy on touch screens for users with low vision
RD Vatavu - Proceedings of the 2017 CHI Conference on Human …, 2017 - dl.acm.org
We contribute in this work on gesture recognition to improve the accessibility of touch
screens for people with low vision. We examine the accuracy of popular recognizers for …
screens for people with low vision. We examine the accuracy of popular recognizers for …
$ Q: A super-quick, articulation-invariant stroke-gesture recognizer for low-resource devices
RD Vatavu, L Anthony, JO Wobbrock - Proceedings of the 20th …, 2018 - dl.acm.org
We introduce Q,asuper-quick,articulation-invariantpoint-cloudstroke-
gesturerecognizerformobile,wearable,andembeddeddeviceswithlowcomputingres…. Q ran …
gesturerecognizerformobile,wearable,andembeddeddeviceswithlowcomputingres…. Q ran …