PPT-Whole-Home Gesture Recognition Using Wireless Signals

Author : celsa-spraggs | Published Date : 2017-04-27

MobiCom13 Author Qifan Pu et al University of Washington Presenter Yanyuan Qin amp Zhitong Fei Why interactive technique

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Whole-Home Gesture Recognition Using Wireless Signals: Transcript


MobiCom13 Author Qifan Pu et al University of Washington Presenter Yanyuan Qin amp Zhitong Fei Why interactive technique. What is Whole Disk Encr yp tion Whole Disk Encr yp tion versus File Encr yp tion Wireless Microphone Systems 5 Wireless Microphone Systems range from simple to sophisticated. But they all include various combinations of Transmitters: Handheld Microphone Transmitter  with character.. Expressionistic Drawing. Erich . Heckel. Figurative Representation. Egon. . Schiele. Aggressively. Deliberately. Fearlessly. Because of the aforementioned qualities, their figures are . Customization. Uran. . Oh. 1. and Leah Findlater. 2. 1 . Department . of Computer . Science. 2 . College of Information Studies. University of Maryland, College . Park. . uranoh@cs.umd.edu . | . leahkf@umd.edu. using the . GSR Signal on Android Devices. Shuangjiang Li. Outline . Emotion Recognition. The GSR Signal. Preliminary Work. Proposed Work. Challenges. Discussion. Emotion . Recognition. Human-Computer Interaction. Mixing. Andrew Hamblin, . Evan . Leong, and Theo Wiersema. Dr. . Jos. é. . Sanchez. Bradley University ECE. October 6, 2015. Project Proposal. Problem Statement. Disconnect for disc jockeys (DJ). Complexity of DJ equipment. Andrew Hamblin, Evan Leong, and Theo Wiersema. Dr. Jose Sanchez. Bradley University ECE. March 1,. 2016. Project Progress. #teamhozai. Objective. Glove for disc jockeys (DJ). Gestural control of music effects. ? . it . is the movement between things. The movement that connects shapes or forms.. It’s simple to understand, but difficult to put into practice. We are so tempted to focus on the details of the human figure because we think that . Joshua Sunshine. What is a gesture?. “Gesture-based interfaces offer an alternative to traditional keyboard, menu, and direct manipulation interfaces.” [. Rubine. ]. “Pen, finger, and wand gestures are increasingly relevant to many new user interfaces.” [. With. Clear Packing Tape. What is a human gesture?. ges·ture. ˈ. jesCHər. /. noun. noun: . gesture. ; plural noun: . gestures. 1. . . a . movement of part of the body, especially a hand or the head, to express an idea or meaning.. Motivation. Free air gestures for HCI in wearable, mobile, ubiquitous computing. Vision based approaches. Latency. Obstruction. Power. Other RF based approaches. Large scale gesture . Project Soli. Paediatric Language Group. 2014. In . children <3, does parent use of gesture result in faster acquisition of words compared to verba. l input alone?. The question for the year was.... E3BP . Types of Gesture . Ángel. Bautista. 1,2. , Laura Igual. 1,2. ,. Josep. Moya. 3. , . Verónica. Violant. 2. , . Oriol. Pujol. 1,2. and Sergio Escalera. 1,2. Computer Vision Center (CVC). 1. , University of Barcelona (UB). Materials. jGRASP. . IDE Version . 2.0.0_16 . Java SDK 7u79. Leap Motion . Device and SDK. Laptop. Macintosh OS X Version 10.9.5. Basic. . Overview. Sample. . Code. Data & Analysis. People with a disability that reduces their ability to use a standard keyboard can be at a severe disadvantage when required to input numeric passwords in order to gain access to their accounts. A password that just requires a few movements of the hand in front of the user is more accessible to disabled users, more convenient to almost all users, and can still be very secure. A system was developed in Java that is able to read in the coordinates of the palm of a hand above the Leap Motion Device, save them in a comparable format, then compare the input gesture to a stored one in order to verify a user. Once the program had been calibrated, it was tested with a test case of a gesture containing 3 lines in different directions. The gesture input was registered as acceptably close to the original in 82.5% of trials at an margin of error of 40 millimeters, leading to the conclusion that the program could accurately register and compare input hand gestures. The successful development of this system can be incredibly useful to users with disabilities such as arthritis that makes it difficult to press individual keys on a keyboard. The system also reduces stress put on the wrist from excessive keyboard use that can result in carpal tunnel syndrome. In addition to being faster and easier to input, the endless possibilities of gestures cause the hand gesture passwords to be very secure..

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