SoftKinetic - 3D Vision Leader SoftKinetic transforms the way people interact with the digital world. We are the leading provider of end-to-end gesture-based platforms for the consumer electronics and professional markets. ... SoftKinetic is the leading provider of end-to-end 3D gestur
uWave: Accelerometer-based Personalized Gesture Recognition and Its Applications 1 uWave: Accelerometer-based Personalized Gesture Recognition and Its Applications Jiayang Liu, Zhen Wang, and Lin Zhong Department. Of Electrical Computer Engineering Rice University, Houston TX 77005 jiayang@rice.edu, wangzhen127@gmail.com, lzhong ...
Gesture - Wikipedia, the free encyclopedia A gesture is a form of non-verbal communication or non-vocal communication in which visible bodily actions communicate particular messages, either in place of, or in conjunction with, speech. Gestures include movement of the hands, face, or other parts of
Top 18 Gesture Recognition Technology Companies The Global Gesture Recognition Market is growing at a CAGR of 29.2 percent during the period 2013-2018. TechNavio has pinpointed the top gesture recognition technology ...
Handwriting recognition - Wikipedia, the free encyclopedia Handwriting recognition (or HWR[1]) is the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper documents, photographs, touch-screens and other devices. The image of the written text may be sensed "off l
Natural Input On Mobile PC Systems Bodin Dresevic Development Manager Tablet PC Group, Mobile PCs Division bodind @ microsoft.com Microsoft Corporation Session Outline Applications of Natural Input Speech Input Pen Input Touch Input Summary Call to Action Microsoft will continue investing
Ishikawa Watanabe Laboratory - YouTube ACHIRES is an ``Actively Coordinated High-speed Image-processing Running Experiment System.'' It is composed of high-speed vision and high-speed actuators to achieve instantaneous recognition and behavior. The similar technologies are used in our Janken .
Program - Ubicomp 2014 - Sep. 13-17, Seattle, US This paper explores the possibility of using mobile sensing data to detect certain in-store shopping intentions or behaviours of shoppers. We propose a person-independent activity recognition technique called CROSDAC, which captures the diversity in the .
Publications by Rice Efficient Computing Group 2015 Journal Papers Ahmad Rahmati, Clayton Shepard, Chad Tossell, Lin Zhong, and Phil Kortum, "Practical context awareness: measuring and utilizing the context dependency of mobile usage," to appear in IEEE Transactions on Mobile Computing. (arXiv)
Baby Smash! by Scott Hanselman As babies smash on the keyboard, colored shapes, letters and numbers appear on the screen. Baby Smash will lock out the Windows Key, as well as Ctrl-Esc and Alt-Tab so your baby can't get out of the application. Pressing ALT-F4 will exit the application a
