Classification of histopathology images of lung cancer using convolutional neural network (CNN)

N Baranwal, P Doravari… - Disruptive Developments in …, 2022 - taylorfrancis.com
Cancer is the uncontrollable cell division of abnormal cells inside the human body, which
can spread to other body organs. It is a non-communicable diseases (NCDs), which account …

A review of deep learning-based approaches to sign language processing

S Tan, N Khan, Z An, Y Ando, R Kawakami… - Advanced …, 2024 - Taylor & Francis
Technology to support human communication by sign language may address a growing
social need and is interesting from an engineering perspective, considering multimodal …

The effects of robot voice and gesture types on the perceived robot personalities

X Dou, CF Wu, KC Lin, TM Tseng - … on Design: Thematic Area, HCI 2019 …, 2019 - Springer
Abstract Service robots are starting to become part of work life in many sectors including
shopping, education, and companion. Previous studies in HRI have found that a number of …

One-shot learning from demonstration approach toward a reciprocal sign language-based HRI

SR Hosseini, A Taheri, M Alemi, A Meghdari - International Journal of …, 2024 - Springer
This paper addresses the lack of proper Learning from Demonstration (LfD) architectures for
Sign Language-based Human–Robot Interactions to make them more extensible. The paper …

An empirical review of calibration techniques for the pepper humanoid robot's RGB and depth camera

AK Singh, N Baranwal, KF Richter - Intelligent Systems and Applications …, 2020 - Springer
This paper presents a comparative study of different calibration techniques to align the
Pepper Humanoid Robot's depth camera with respect to its RGB camera. Both cameras are …

Humanoid robot as a tutor in a team-based training activity

G Kurtz, D Kohen-Vacs - Interactive Learning Environments, 2024 - Taylor & Francis
Humanoid robotics is an emerging field striving to deploy technological devices capable of
resembling and mimicking the human form. Primarily, the capability of human-like robots to …

Improved Mispronunciation detection system using a hybrid CTC-ATT based approach for L2 English speakers

N Baranwal, S Chilaka - arXiv preprint arXiv:2201.10198, 2022 - arxiv.org
This report proposes state-of-the-art research in the field of Computer Assisted Language
Learning (CALL). Mispronunciation detection is one of the core components of Computer …

Understanding Differences in Human-Robot Teaming Dynamics between Deaf/Hard of Hearing and Hearing Individuals

A Dust, C Gonzalez-Lebron, S Connell… - Companion of the 2023 …, 2023 - dl.acm.org
With the development of industry 4.0, more collaborative robots are being implemented in
manufacturing environments. Hence, research in human-robot interaction (HRI) and human …

Fusion of gesture and speech for increased accuracy in human robot interaction

N Baranwal, AK Singh… - 2019 24th International …, 2019 - ieeexplore.ieee.org
An approach for decision-level fusion for gesture and speech based human-robot interaction
(HRI) is proposed. A rule-based method is compared with several machine learning …

Visual Appearance Features of Sign Language Avatars

M Atasoy, L Şılbır, SF Erümit, E Bahçekapılı… - Kastamonu Education …, 2023 - dergipark.org.tr
Öz Çalışmanın amacı: Üç boyutlu işaret dili avatarları eğitsel ajanlarda olduğu gibi dijital
ortamlarda kullanıcı ile iletişim kurar. Eğitsel ajanlar tasarlanırken hedef grup etkili bir kriter …