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Article
Open AccessSignEEG v1.0: Multimodal Dataset with Electroencephalography and Hand-written Signature for Biometric Systems
Handwritten signatures in biometric authentication leverage unique individual characteristics for identification, offering high specificity through dynamic and static properties. However, this modality faces s...
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Article
Open AccessStudy of AI-Driven Fashion Recommender Systems
The rising diversity, volume, and pace of fashion manufacturing pose a considerable challenge in the fashion industry, making it difficult for customers to pick which product to purchase. In addition, fashion ...
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Article
Open AccessBimodal electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognition
The recognition of inner speech, which could give a ‘voice’ to patients that have no ability to speak or move, is a challenge for brain-computer interfaces (BCIs). A shortcoming of the available datasets is th...
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Chapter and Conference Paper
Emotions Classification Using EEG in Health Care
Online monitoring of mental well-being and factors contributing to it is vital, especially in pandemics (like COVID-19), when physical contact is discouraged. As emotions are closely connected to mental health...
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Chapter and Conference Paper
ICDAR 2023 CROHME: Competition on Recognition of Handwritten Mathematical Expressions
This paper overviews the 7th edition of the Competition on Recognition of Handwritten Mathematical Expressions. ICDAR 2023 CROHME proposes three tasks with three different modalities: on-line, off-line and bim...
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Chapter and Conference Paper
Depth Contrast: Self-supervised Pretraining on 3DPM Images for Mining Material Classification
This work presents a novel self-supervised representation learning method to learn efficient representations without labels on images from a 3DPM sensor (3-Dimensional Particle Measurement; estimates the parti...
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Chapter and Conference Paper
Imagined Object Recognition Using EEG-Based Neurological Brain Signals
Researchers have been using Electroencephalography (EEG) to build Brain-Computer Interfaces (BCIs) systems. They have had a lot of success modeling brain signals for applications, including emotion detection, ...
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Article
3D word spotting using leap motion sensor
Leap motion sensor provides a new way of interaction with computers or mobile devices. With this sensor, users can write in air by moving palm or finger, thus, avoiding traditional pen and paper for writing. T...
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Article
Open AccessChallenges of Hate Speech Detection in Social Media
The detection of hate speech in social media is a crucial task. The uncontrolled spread of hate has the potential to gravely damage our society, and severely harm marginalized people or groups. A major arena f...
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Chapter and Conference Paper
Sign Gesture Recognition from Raw Skeleton Information in 3D Using Deep Learning
Sign Language Recognition (SLR) minimizes the communication gap when interacting with hearing impaired people, i.e. connects hearing impaired persons and those who require to communicate and don’t understand S...
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Chapter and Conference Paper
Trajectory Classification Using Feature Selection by Genetic Algorithm
Trajectory helps in understanding the of objects being . The raw trajectories may not yield classification results. Therefore, features are extracted from raw trajectories to improve classification resu...
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Chapter and Conference Paper
Hate Speech Detection Using Transformer Ensembles on the HASOC Dataset
With the ubiquity and anonymity of the Internet, the spread of hate speech has been a growing concern for many years now. The language used for the purpose of dehumanizing, defaming or threatening individuals ...
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Article
Kinect sensor-based interaction monitoring system using the BLSTM neural network in healthcare
Remote monitoring of patients is considered as one of the reliable alternatives to healthcare solutions for elderly and/or chronically ill patients. Further, monitoring interaction with people plays an importa...
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Article
Recognizing gender from human facial regions using genetic algorithm
Recently, recognition of gender from facial images has gained a lot of importance. There exist a handful of research work that focus on feature extraction to obtain gender-specific information from facial imag...
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Article
A novel point-line duality feature for trajectory classification
Trajectory classification is important for understanding object movements within the surveillance area. Raw trajectories are represented by object location in form of (x, y) coordinates. The length of trajectorie...
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Article
A position and rotation invariant framework for sign language recognition (SLR) using Kinect
Sign language is the only means of communication for speech and hearing impaired people. Using machine translation, Sign Language Recognition (SLR) systems provide medium of communication between speech and he...
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Article
Envisioned speech recognition using EEG sensors
Recent advances in EEG technology makes brain-computer-interface (BCI) an exciting field of research. BCI is primarily used to adopt with the paralyzed human body parts. However, BCI in envisioned speech recog...
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Article
Frame selection for OCR from video stream of book flip**
Optical Character Recognition (OCR) in video stream of flip** pages is a challenging task because flip** at random speed causes difficulties in identifying the frames that contain the open page image (OPI)...
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Article
Analysis of EEG signals and its application to neuromarketing
Marketing and promotions of various consumer products through advertisement campaign is a well known practice to increase the sales and awareness amongst the consumers. This essentially leads to increase in pr...
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Article
3D text segmentation and recognition using leap motion
In this paper, we present a method of Human-Computer-Interaction (HCI) through 3D air-writing. Our proposed method includes a natural way of interaction without pen and paper. The online texts are drawn on air...
