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Proceedings ArticleDOI

Dynamic time warping for off-line recognition of a small gesture vocabulary

TLDR
This work focuses on the visual sensory information to recognize human activity in form of hand-arm movements from a small, predefined vocabulary by means of a matching technique by determining the distance between the unknown input and a set of previously defined templates.
Abstract
We focus on the visual sensory information to recognize human activity in form of hand-arm movements from a small, predefined vocabulary. We accomplish this task by means of a matching technique by determining the distance between the unknown input and a set of previously defined templates. A dynamic time warping algorithm is used to perform the time alignment and normalization by computing a temporal transformation allowing the two signals to be matched. The system is trained with finite video sequences of single gesture performances whose start and end-point are accurately known. Preliminary experiments are accomplished off-line and result in a recognition accuracy of up to 92%.

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Citations
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Journal ArticleDOI

Vision based hand gesture recognition for human computer interaction: a survey

TL;DR: An analysis of comparative surveys done in the field of gesture based HCI and an analysis of existing literature related to gesture recognition systems for human computer interaction by categorizing it under different key parameters are provided.
Journal ArticleDOI

Time-series clustering - A decade review

TL;DR: This review will expose four main components of time-series clustering and is aimed to represent an updated investigation on the trend of improvements in efficiency, quality and complexity of clustering time- series approaches during the last decade and enlighten new paths for future works.
Journal ArticleDOI

Hand and Mind: What Gestures Reveal about Thought

TL;DR: McNeill as discussed by the authors discusses what Gestures reveal about Thought in Hand and Mind: What Gestures Reveal about Thought. Chicago and London: University of Chicago Press, 1992. 416 pp.
Journal ArticleDOI

A Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation

TL;DR: A unified framework for simultaneously performing spatial segmentation, temporal segmentsation, and recognition is introduced and can be applied to continuous image streams where gestures are performed in front of moving, cluttered backgrounds.
Proceedings ArticleDOI

A PCA-based similarity measure for multivariate time series

TL;DR: The results show the superiority of the approaches as compared to the traditional similarity measures for MTS datasets, such as Euclidean Distance (ED), Dynamic Time Warping (DTW), Weighted Sum SVD (WSSVD) and PCA similarity factor (SPCA) in precision/recall.
References
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Book

Principal Component Analysis

TL;DR: In this article, the authors present a graphical representation of data using Principal Component Analysis (PCA) for time series and other non-independent data, as well as a generalization and adaptation of principal component analysis.
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Dynamic Programming

TL;DR: The more the authors study the information processing aspects of the mind, the more perplexed and impressed they become, and it will be a very long time before they understand these processes sufficiently to reproduce them.
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Fundamentals of speech recognition

TL;DR: This book presents a meta-modelling framework for speech recognition that automates the very labor-intensive and therefore time-heavy and therefore expensive and expensive process of manually modeling speech.
Journal ArticleDOI

Dynamic programming algorithm optimization for spoken word recognition

TL;DR: This paper reports on an optimum dynamic progxamming (DP) based time-normalization algorithm for spoken word recognition, in which the warping function slope is restricted so as to improve discrimination between words in different categories.
Journal ArticleDOI

Pfinder: real-time tracking of the human body

TL;DR: Pfinder is a real-time system for tracking people and interpreting their behavior that uses a multiclass statistical model of color and shape to obtain a 2D representation of head and hands in a wide range of viewing conditions.
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