This study uses log-file data to investigates how chemical process plant employees interact and engage with two distinct learning analytics dashboard designs, which are implemented in a virtual reality simulation-based training environment. The designs differ by reference frame: the progress frame, offers historical performance as point of comparison social frame aggregated average peer group c...

In this paper, we propose a speaking rate compensation method using frame period and frame length adaptation. Our method decodes an input utterance using several sets of frame period and frame length parameters for speech analysis. Then, this method selects the best set with the highest score which consists of the acoustic likelihood normalized by frame period, language likelihood and insertion...

Kinect-based exergames allow players to undertake physical exercise in an interactive manner with visual stimulation. Previous studies focused on investigating physical fitness based on calories or heart rate to ascertain the effectiveness of exergames. However, designing an exergame for specific training purposes, with intensity levels suited to the needs and skills of the players, requires th...

Finite affine groups are given by groups of translations and di- lations on finite cyclic groups. For cyclic groups of prime order we develop a time-scale (wavelet) analysis and show that for a large class of non-zero window signals/vectors, the generated full cyclic wavelet system constitutes a frame whose canonical dual is a cyclic wavelet frame.

This paper considers minimum phone error (MPE) based discriminative training of acoustic models for Mandarin broadcast news recognition. We present a new phone accuracy function based on the frame-level accuracy of hypothesized phone arcs instead of using the raw phone accuracy function of MPE training. Moreover, a novel data selection approach based on the frame-level normalized entropy of Gau...

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...

In this paper we describe a method to perform sequencediscriminative training of neural network acoustic models without the need for frame-level cross-entropy pre-training. We use the lattice-free version of the maximum mutual information (MMI) criterion: LF-MMI. To make its computation feasible we use a phone n-gram language model, in place of the word language model. To further reduce its spa...

The authors undertook a comprehensive examination of the construct validity of an assessment center in this study by (a) gathering many different types of evidence to evaluate the strength of the inference between predictor measures and constructs (e.g., reliability, accuracy, convergent and discriminant relationships), (b) introducing a theoretically relevant intervention (frame-of-reference [...