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Title: Speech Emotion Recognition for Affective Human Robot Interaction full report
Page Link: Speech Emotion Recognition for Affective Human Robot Interaction full report -
Posted By: seminar topics
Created at: Sunday 14th of March 2010 10:38:23 AM
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Speech Emotion Recognition for Affective Human Robot Interaction

Abstract
We evaluate the performance of a speech emotion recognition method for affective human-robot interaction. In the proposed method, emotion is classified into 6 classes: Angry, bored, happy, neutral, sad, and surprised. After applying noise reduction and speech detection, we obtain a feature vector for an utterance from statistics of phonetic and prosodic information. The phonetic information includes log energy, shimmer, formant frequencies, and Teager energy; the pro ....etc

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Title: HUMAN COMPUTING MACHINE UNDERSTANDING OF HUMAN BEHAVIOR ppt
Page Link: HUMAN COMPUTING MACHINE UNDERSTANDING OF HUMAN BEHAVIOR ppt -
Posted By: [email protected]
Created at: Wednesday 11th of August 2010 06:53:52 AM
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HI this is Arzoo,
I am a student pursuing BSC (IT) from raisoni college,nagpur.As it is my final year we have been given seminars to present it in front of a bunch of audience.I was really impressed with the kind of topics your site offered.If you could please guide me for the topic HUMAN COMPUTING MACHINE UNDERSTANDING OF HUMAN BEHAVIOR ppt ?
....etc

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Title: Exploiting the Human-Machine Gap in Image Recognition for Designing CAPTCHAs
Page Link: Exploiting the Human-Machine Gap in Image Recognition for Designing CAPTCHAs -
Posted By: seminar class
Created at: Tuesday 03rd of May 2011 12:57:40 AM
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Abstract
Security researchers have, for long, devised mechanismsto prevent adversaries from conducting automated networkattacks, such as denial-of-service, which lead to significantwastage of resources. On the other hand, several attempts havebeen made to automatically recognize generic images, make themsemantically searchable by content, annotate them, and associatethem with linguistic indexes. In the course of these attempts, thelimitations of state-of-the-art algorithms in mimicking humanvision have become exposed. In this paper, we ....etc

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Title: HUMAN COMPUTING MACHINE UNDERSTANDING OF HUMAN BEHAVIOR
Page Link: HUMAN COMPUTING MACHINE UNDERSTANDING OF HUMAN BEHAVIOR -
Posted By: project topics
Created at: Friday 02nd of April 2010 05:02:12 AM
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HUMAN COMPUTING & MACHINE UNDERSTANDING OF HUMAN BEHAVIOR
ABSTRACT

A widely accepted prediction is that computing is moving background projecting the human user into foreground. Today computing has become a key in every technology. If this prediction is to come true, then next generation computing, which we will call as human computing is about anticipatory user interfaces that should be human centered, built for humans based on human model.

In the present paper we will discuss how human computing leads to understanding of h ....etc

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Title: Identification of Humans using Gait
Page Link: Identification of Humans using Gait -
Posted By: project topics
Created at: Monday 02nd of May 2011 12:53:26 AM
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Identification of Humans using Gait
IEEE Transactions on Image Processing, Vol. 13, No. 9, September 2004
Language: Java,

Abstract:
We propose a view-based approach to recognize humans from their gait. Two different image features have been considered: the width of the outer contour of the binarized silhouette of the walking person and the entire binary silhouette itself. To obtain the observation vector from the image features, we employ two different methods. In the first method, referred to as the indirect approach, the high-d ....etc

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Title: AUTOMATIC GAIT RECOGNITION full report
Page Link: AUTOMATIC GAIT RECOGNITION full report -
Posted By: seminar topics
Created at: Wednesday 31st of March 2010 09:31:14 AM
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AUTOMATIC GAIT RECOGNITION
Abstract

Gait is an emergent biometric aimed essentially to recognise people by the way they walk. Gaitâ„¢s advantages are that it requires no contact, like automatic face recognition, and that it is less likely to be obscured than other biometrics. Gait has allied subjects including medical studies, psychology, human body modelling and motion tracking. These lend support to the view that gait has clear potential as a biometric. Essentially, we use computer vision techniques to derive a gait signature from a ....etc

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Title: 12 HUMAN IRIS PATTERN RECOGNITION FOR BIOMETRICS
Page Link: 12 HUMAN IRIS PATTERN RECOGNITION FOR BIOMETRICS -
Posted By: nitish chauhan
Created at: Thursday 30th of June 2011 02:23:49 AM
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sir i ,nitish kumar , am an student of bteech final year.
i would like to get some help on the topic HUMAN IRIS PATTERN RECOGNITION FOR BIOMETRICS.
a quick response in this regard would be highly appreciated.
thankyou. ....etc

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Title: Human Face Recognition Using PCA on Wavelet Subband
Page Link: Human Face Recognition Using PCA on Wavelet Subband -
Posted By: seminar class
Created at: Thursday 05th of May 2011 11:45:18 PM
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Abstract
Together with the growing interest in the development of human and computer interface and
biometric identification, human face recognition has become an active research area since early
90. Nowadays, Principal Component Analysis (PCA) has been widely adopted as the most
promising face recognition algorithm. Yet still, PCA has its limitations: poor discriminatory power
and large computational load.
In view of these limitations, this paper proposed a new approach in using PCA - apply PCA on
wavelet subband. Traditionally, t ....etc

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Title: HUMAN IRIS PATTERN RECOGNITION FOR BIOMETRICS
Page Link: HUMAN IRIS PATTERN RECOGNITION FOR BIOMETRICS -
Posted By: manuamy
Created at: Monday 07th of March 2011 12:01:00 PM
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HUMAN IRIS PATTERN RECOGNITION FOR BIOMETRICS

can you provide me with me full material about this and the full construction and materials required. ....etc

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Title: Human Gait Recognition
Page Link: Human Gait Recognition -
Posted By: project report tiger
Created at: Sunday 07th of February 2010 11:11:41 PM
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Abstract

The reliable extraction of characteristic gait features from image sequences and their recognition are two important issues in gait recognition. In this paper, we propose a novel 2-step, model-based approach to gait recognition by employing a 5-link biped locomotion human model. We first extract the gait features from image sequences using the Metropolis-Hasting method. Hidden Markov Models are then trained based on the frequencies of these feature trajectories, from which recognition is performed. As it is ent ....etc

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