In this paper, we outline an algorithm that we developed for reconstructing the pose of a human hand using stereo vision. The algorithm relies on several steps, namely, camera calibration, three dimensional reconstruction from a pair of images of the same scene taken by two cameras, object detection, and computer graphics modeling of the object. In what follows, we present the reader with some of the results obtained as we implemented our reconstruction algorithm. We wish to note that the accuracy of our reconstruction algorithm is a direct consequence of the accuracy of our own calibration algorithm.
Hierarchical menus are a common feature of the user interface for interactive software. Dynamic menus allow users to add items to the menu structure. Such dynamic menus are subject to usability problems of hiding information because of overlapping data and of requiring large in-line movement of the mouse or input device. This paper presents an improved design for menu display and interaction to provide easier viewing and navigation.
A comparison of different bit-rate definitions used in the Brain-Computer Interface (BCI) community is proposed; assumptions underlying those definitions and their limitations are discussed. Capacity estimates using Wolpaw and Nykopp bit-rates are computed for various published BCIs. It appears that only Nykopp's bit-rate is coherent with channel coding theory. Wol- paw's definition might lead to underestimate the real bit- rate and to infer wrong conclusions about the optimal number of symbols; its use should be avoided. The us- age of a proper bit-rate assessment is motivated and advocated. Finally, it is found that the typical signal-to- noise ratio of current BCIs lies around 0 dB.
The previous Intrusion Detection System has difficulty in coping cause it defects intrusions only on particular network and only same segment. About same attacks, system lacks capacity of combining information and related data. Also it lacks cooperations against intrusions. Systematic and general security controls can make it possible to detect intrusions and deal with intrusions and predict. This paper considers Distributed Intrusion Detection preventing attacks and suggests the way sending active packets between nodes safely and performing in corresponding active node certainly. This study suggested improved E-IDS system which prevents service attacks and also studied sending messages safely by encoding. Encoding decreases security attacks in active network. Also described effective ways of dealing intrusions when misuses happens thorough case study. Previous network nodes can't deal with hacking and misuses happened in the middle nodes at all, cause it just encodes ends. With above suggested ideas, problems caused by security services can be improved.
A new approach is developed to explore the feasibility of reconstructing human manipulation skills ill complex constrained motion by tracing and learning the manipulation performed by the operator. The peg-in-hole insertion problem was used as a case study, which represents a typical constrained motion force sensitive manufacturing task with the attendant issues of jamming, light clearance, and the need for quick assembly times. In the developed system, position and contact force and torque as well as orientation data generated in the haptic rendered virtual environment combined with a priori knowledge about the task are used to identify and learn the skills in the newly demonstrated task. The recorded training data are classified into states. The assembly states monitored from the haptic virtual environment are used in training a Hidden Markov Model, which is used to estimate assembly states in on-line analysis. The robot evaluates the controller's performance, assembly state and thus learns the best way to produce that behaviour. Locally weighted regression (LWR) algorithm is used to identify constraints of the controller's skills in each state. The concept behind the project is described The approach developed and the results obtained are reported.
