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Collecting ground truth data with smart phone applications is as difficult as important for training classification models predicting transport modes of people. Errors of respondent input with respect to trip length and transport mode segmenting introduce a systematic bias in the classification model. We propose a semi-supervised framework adjusting user-given input to process user-collected accelerometer...
Parkinson's disease patients develop several impairments related to the speech production process. The deficits of the speech of the patients include reduction in the phonation, articulation, prosody and intelligibility capabilities. Related studies have analyzed the phonation, articulation and prosody of the patients with Parkinson's, while the intelligibility impairments have not been enough evaluated...
Online human action recognition has broad application prospect in many fields of computer vision. Simultaneously, with the advent of depth camera, it brings on a new trend of online human action recognition but still present some unique challenges. In this paper, to solve the lower accuracy of the existing online human action recognition algorithm based on depth camera, we adopt the improved Dynamic...
In this paper, a new set of features for addressing the problem of unsupervised query-by-example spoken term detection is proposed. The main purpose of this is to find a spoken query in large speech databases. In unsupervised audio search, language specific resources are not required. Thus this system is more appropriate in cases where enough training data is not available for creating an Automatic...
An algorithm for the robust detection and recognition of gestures for the interaction between human and a domestic floor cleaner robot is presented. The gestures are selected through a user study, in which the participants are asked to show natural gestures to the robot in given specific interaction scenarios. The gestures selected are those repeated by majority of participants and consist both commanding...
Cyber bullying is a new phenomenon resulting from the advance of new communication technologies including the Internet, cell phones and Personal Digital Assistants. It is a challenging bullying problem occurring in a new territory. Online bullying can be particularly damaging and upsetting because it's usually anonymous or hard to trace. In this paper, the proposed method is utilizing a dataset of...
3D Human Computer Interaction (HCI) becomes more and more popular thanks to the emergence of commercial depth cameras. Moreover, hand gestures provide a natural and attractive alternative to cumbersome interface devices for HCI. In this paper, we present an Image-to-Class Dynamic Time Warping (I2C-DTW) approach for 3D hand gesture recognition. Themain idea is that we divide the time-series curve of...
A robust hand gesture detection and recognition algorithm using dynamic time warping and multi-class probability estimates is proposed. Quaternion based directional features of the hand are extracted using the color-depth camera Kinect. The directional features utilized have position and orientation invariance. Dynamic time warping of the signal sequence is done to achieve gesture size and speed invariance,...
This paper aims to understand the components of speech that contribute to emotion characteristics in speech. Four components of speech (vocal tract, excitation, duration and intonation) are considered in this study. A Flexible Analysis Synthesis Tool (FAST) is developed to modify the features of an utterance from neutral to emotion or from emotion to neutral. The key ideas used in this work are the...
Searching for a letter or a word in historical documents is a practical challenge due to the various degradations present in such documents and the wide variance of handwriting. Searching in historical Hebrew documents is somewhat harder because of high similarities among Hebrew characters. In order to determine the features and their combinations appropriate for recognizing Hebrew script, we study...
We present a framework to provide a quantitative representation of aspects of musical sound that are associated with musical expressiveness and emotions. After a brief introduction to the background of expressive features in music, we introduce a score to audio mapping algorithm based on dynamic time warping, which segments the audio by comparing it to a music score. Expressive feature extraction...
The method of extracting characteristic parameters of lip according to lip template was presented. A dynamic clustering algorithm to classify the lip-shape based on the criteria of the least square error sum was proposed, and dynamic state sequence that described the lip movement was obtained by the improved ant colony algorithm. The lip-reading dynamic pattern recognition was performed by DTW algorithm...
It is an open problem to extract stable and distinguishable features from force signals of handwriting signatures. Based on the writing habits and kinematics of human, a hypothesis was proposed that force signal at critical points, e.g. the starting, the turning and the ending of a signature. etc, consists of personalized features which can distinguish signatures of different persons. Using stroke...
Time series exists in lots of fields, therefore data mining in time series has important research value. Considering correlation analysis is the foundation of time series data mining, the paper concentrates on the topic. We choose robust Dynamic Time Warping (DTW) distance and propose the improvement for standard DTW algorithm to deal with its large computing time cost: extracting the feature points...
The existing software engineering literature has empirically shown that a proper choice of identifiers influences software understandability and maintainability. Researchers have noticed that identifiers are one of the most important source of information about program entities and that the semantic of identifiers guide the cognitive process. Recognizing the words forming identifiers is not an easy...
Present video retrieval methods have many problems. To solve these problems, a new video retrieval algorithm base on video spatio-temporal feature curves is proposed in this paper. In this new algorithm, the feature curves are extracted from the video, and then two videos' feature curves are compared to determine whether they have the same content or not. In the comparing process, to solve the problems...
One of the key tasks in computer vision is the identification and matching of coherent shapes in different images. In signature verification these shapes are represented by the strokes of the signature. Strokes may fall apart, close up, change or simply disappear among different signatures of the same signer. This paper proposes an algorithm to tackle the stroke matching problem using an area based...
In this paper we propose a novel and efficient technique for finding keywords typed by the user in digitised machine-printed historical documents using the dynamic time warping (DTW) algorithm. The method uses word portions located at the beginning and end of each segmented word of the processed documents and try to estimate the position of the first and last characters in order to reduce the list...
Matching video segments in order to detect their similarity is a necessary task in retrieval and summarization applications. In order to determine nearly identical content, such as repeated takes of the same scene, very precise matching of sequences of features extracted from the video segments needs to be performed. In this paper we compare the performance of three distance measures for the task...
This paper presents a novel method of person identification based on multi-view gait analysis. Three different views have been considered: side-view, frontright and rear right. The feature vectors set are derived from the sequence of outer contour width of binarised silhouettes of the walking person. The feature vectors of each view are segmented into sub-vectors and then quantised independently using...
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