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Article
The safety, acceptability, and effectiveness of acupuncture as an adjunctive treatment for acute symptoms in bipolar disorder
There is growing interest in the utility of nonpharmacologic treatments for mood symptoms, including mood elevation and depression associated with bipolar disorders. The purpose of this research was to provide...
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Chapter and Conference Paper
An Improved Artificial Neural Network Based Emotion Classification System for Expressive Facial Images
Develo** systems and devices that can recognize, interpret, and process human emotions are an interdisciplinary field involving computer science, psychology, and cognitive science. A system has been develope...
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Chapter and Conference Paper
A Real Time Human Emotion Recognition System Using Respiration Parameters and ECG
In the field of research on computer identification of emotion, physiological signals play an important role. The selection of the specific physiological input is dependent on its contribution to the emotion....
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Chapter and Conference Paper
Estimation of Skew Angle from Trilingual Handwritten Documents at Word Level: An Approach Based on Region Props
In this work, an efficient technique for segmenting the words from multilingual unconstrained handwritten documents at word level is proposed. In the proposed model, morphological operations and connected comp...
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Chapter and Conference Paper
A Real Time Human Emotion Recognition System Using Respiration Inhale-Exhale Temperature Patterns and ECG
A major requirement for human health monitoring in real time is the capability to evaluate their perceptual state. This paper presents a real time monitoring system for human emotions recognition using respir...
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Chapter and Conference Paper
A Thermal Imaging Based Classification of Affective States Using Multiclass SVM
In research performances, affective computing has become a develo** area because of its large use of application in interface of human computer. Recognition of emotion is one of the art techniques state in ...
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Chapter and Conference Paper
A Survey on Text Detection from Document Images
Extraction of textual information is a very fundamental step in the domain of information retrieval, searching, editing, documenting, archiving, or recording the appearance of text. Appearance of text means te...
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Chapter and Conference Paper
Towards More Accurate Touchless Fingerprint Classification Using Deep Learning and SVM
Automated fingerprint classification is one of the mostly used human identity verification system. The touchless fingerprint identification and classification system offers a higher user convenience and hygien...
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Chapter and Conference Paper
Automation of Answer Scripts Evaluation-A Review
Automation of answer script evaluation helps in eliminating manual evaluation system. Automatic evaluation system is the technology to improve current examination process. The system helps to auto-evaluate and...
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Article
Hybrid Feature-Assisted Neural Model for Crowd Behavior Analysis
The exponential rise in technology and allied applications has always revitalized academia industries to achieve more efficient and robust solution to meet contemporary demands. Surveillance systems have alway...
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Article
A Robust Deep Features Enabled Touchless 3D-Fingerprint Classification System
The exponential rise in software computing and hardware technologies has broadened the horizon for different applications in decision making to make human life efficient. Among all the major demands, security ...
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Chapter
Signature Extraction from Bilingual Document Images Using Blobs Method
In this paper, we present an effective method for signature extraction from bilingual (Kannada and English) printed/handwritten documents using the contour and blobs-based method. Experimentation is carried ou...
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Article
Open AccessEnhancing construction safety: predicting worker sleep deprivation using machine learning algorithms
Sleep deprivation is a critical issue that affects workers in numerous industries, including construction. It adversely affects workers and can lead to significant concerns regarding their health, safety, and ...
