PPT-College Comm Gestures and Movement

Eye Contact Look around the audience Dont stare at your notecards Dont stare at one person Dont look above heads Distractive Gestures Be aware that nervousness or feelings of inadequacy can show immediately in your gestures These can be very distractive and misinterpreted. (BODY LANGUAGE). http://bass-schuler.com/wp-content/uploads/2012/09/Student-Body-Language-Poster2.jpg. Language is a communication system operating noise thanks to a strict rules and help take over experience.. Business Communication. By: Jabriel . s.Jordan. , John S. . Pistulka. , . Spencer R. . Mallonee, . Spencer S. Kidder. Non-Verbal Communication . Why is it important? . •First . impression – 90% on . Stretch!!. Say something polite!. One person at a time say something polite!. “Thank you!”. “Excuse me!”. “I’m Sorry!. “Bless you!”. “Please!”. Do you know the rules??. Be respectful!. Union . High School. ACT Practice: Sentence Structure. 1. Sentence Fragments. A sentence fragment is an incomplete sentence. How do you find sentence fragments?. 1. Look for a subject and a verb.. 2. Look for dependent clauses. . Non-verbal-communication with out words. Also known as Body language.. Reading body language:. Speech of movement- fast movement suggests a sense of urgency, tension or hurry. Slow may suggest sadness, illness, thoughtfulness or injury.. Darren . Andreychuk. Shahedul. . Khandkar. Josy. Oliveira. 1. Outline. 2. Research Objective. Related Works. Methodologies. Findings. Limitations. Future Work. Research Objective. 3. Determine the natural gestures for common tasks in touch enabled applications. College of . Communications. Internship. What Every Intern Needs to Know. Topics to be Covered. 5 Majors within the College of Communications. Why you should do an Internship. Internship . for-Credit . Walter D. West, . O.D., F.A.A.O. a. nd . . .. All Y’all. Effective Patient Communications. Effective Communications. Consistent. Straight . forward. Easily understood. Reduce confusion. Mutual . Understanding. UNIVERSITY OF TEXAS AT EL PASO. PRESENTED BY:. Kehinde . Akinola. Objectives. Know some Gestures in Android. How to detect Common Gestures (using Android as examples). Creating . multitouch. gestures. biopsychosocial. , informed by systems theory, and various theories of therapy. .. . . www.adta.org/. Lora Wilson Mau, MA, BC-DMT. www.92Y.org. www.antioch.edu. www.octaband.com. www.disarmingtheplayground.com. Sophie . Forbes. March . 24, 2015. One of the main problems travelers face is communicating with the locals. Even if you never leave home without your trusty phrase book, communication is as much about nonverbal cues as it is about talking. Business Communication. By: Jabriel . s.Jordan. , John S. . Pistulka. , . Spencer R. . Mallonee, . Spencer S. Kidder. Non-Verbal Communication . Why is it important? . •First . impression – 90% on . LtCol Chuck Bishop. doke@capnhq.gov. . DOKE Staff. DOKEF. – CAP Spectrum Manager. LtCol Andy Feldman. DOKES. – Installation and Maintenance Standards Manager. LtCol Brian Falvey. Maintenance Standards Development Team. 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..