Gesture termination algorithm for continuous input techniques
نویسندگان
چکیده
Many designs have been proposed to improve head tracking interfaces. However, in most head tracking applications, only a click to select is commonly available interaction style. In this paper we present an algorithm which integrates the parameters of the continuous input stream (movement acceleration and the amount of movement) and information concerning the user choice. The results of the test demonstrated that people could control head movement acceleration and the amount of movement without significant effort. The method supports a multiple choice of the commands like a marking menu, as well as several ways to cancel a selection. The method could also improve usability of video-based input techniques for people who still have a sufficient degree of head control.
منابع مشابه
Neural Network Performance Analysis for Real Time Hand Gesture Tracking Based on Hu Moment and Hybrid Features
This paper presents a comparison study between the multilayer perceptron (MLP) and radial basis function (RBF) neural networks with supervised learning and back propagation algorithm to track hand gestures. Both networks have two output classes which are hand and face. Skin is detected by a regional based algorithm in the image, and then networks are applied on video sequences frame by frame in...
متن کاملInertial Sensor-Based Touch and Shake Metaphor for Expressive Control of 3D Virtual Avatars
In this paper, we present an inertial sensor-based touch and shake metaphor for expressive control of a 3D virtual avatar in a virtual environment. An intuitive six degrees-of-freedom wireless inertial motion sensor is used as a gesture and motion control input device with a sensor fusion algorithm. The algorithm enables user hand motions to be tracked in 3D space via magnetic, angular rate, an...
متن کاملTwo Hand Dynamic Gesture Recognition Using Random Sampling Techniques
This work develops a framework for recognition of two hand dynamic gestures, using condensation algorithm. The work is broadly divided into three parts. First part of this work deals with skin color identification using color segmentation using' Gaussian Mixture Model'. In the Second part hand motions are modeled as trajectories of some estimated parameters over time. During training, one templ...
متن کاملDesigning Soft Keyboards for Brahmic Scripts
Soft keyboards, because of their ease of installation and lack of reliance on specific hardware, are a promising solution as an input device for many languages. Developing an acceptable soft keyboard requires frequency analysis of characters in order to design a layout that minimizes text-input time. This paper proposes using various development techniques, layout variations, and evaluation met...
متن کاملCamera-Based Gesture Recognition for Robot Control
Several systems for automatic gesture recognition have been developed using different strategies and approaches. In these systems the recognition engine is mainly based on three algorithms: dynamic pattern matching, statistical classification, and neural networks (NN). In that paper we present four architectures for gesture-based interaction between a human being and an autonomous mobile robot ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009