Indoor positioning and wayfinding systems: a survey

J Kunhoth, AG Karkar, S Al-Maadeed… - Human-centric Computing …, 2020 - Springer
Navigation systems help users access unfamiliar environments. Current technological
advancements enable users to encapsulate these systems in handheld devices, which …

[HTML][HTML] SDNET2018: An annotated image dataset for non-contact concrete crack detection using deep convolutional neural networks

S Dorafshan, RJ Thomas, M Maguire - Data in brief, 2018 - Elsevier
SDNET2018 is an annotated image dataset for training, validation, and benchmarking of
artificial intelligence based crack detection algorithms for concrete. SDNET2018 contains …

Indoor objects detection and recognition for an ICT mobility assistance of visually impaired people

M Afif, R Ayachi, E Pissaloux, Y Said, M Atri - Multimedia Tools and …, 2020 - Springer
Indoor object detection in real scene presents a challenging computer vision task; it is also a
key component of an ICT autonomous displacement assistance of Visually Impaired People …

Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings

H Lindroth, K Nalaie, R Raghu, IN Ayala, C Busch… - Journal of …, 2024 - mdpi.com
Computer vision (CV), a type of artificial intelligence (AI) that uses digital videos or a
sequence of images to recognize content, has been used extensively across industries in …

[HTML][HTML] Real time object detection using CNN based single shot detector model

A Juneja, S Juneja, A Soneja, S Jain - Journal of Information Technology …, 2021 - jitm.ut.ac.ir
Object Detection has been one of the areas of interest of research community for over years
and has made significant advances in its journey so far. There is a tremendous scope in the …

Deep-SAGA: a deep-learning-based system for automatic gaze annotation from eye-tracking data

O Deane, E Toth, SH Yeo - Behavior Research Methods, 2023 - Springer
With continued advancements in portable eye-tracker technology liberating experimenters
from the restraints of artificial laboratory designs, research can now collect gaze data from …

Deep learning-based object detection, localisation and tracking for smart wheelchair healthcare mobility

L Lecrosnier, R Khemmar, N Ragot, B Decoux… - International journal of …, 2021 - mdpi.com
This paper deals with the development of an Advanced Driver Assistance System (ADAS) for
a smart electric wheelchair in order to improve the autonomy of disabled people. Our use …

Faster bounding box annotation for object detection in indoor scenes

B Adhikari, J Peltomaki, J Puura… - 2018 7th European …, 2018 - ieeexplore.ieee.org
This paper proposes an approach for rapid bounding box annotation for object detection
datasets. The procedure consists of two stages: The first step is to annotate a part of the …

An intelligence cattle reidentification system over transport by Siamese neural networks and yolo

I Bakhshayeshi, E Erfani, FR Taghikhah… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Livestock, throughout their lifespan, are transported to multiple destinations before being
processed into consumable goods. The assurance of authentic product delivery hinges on …

Object detection to assist visually impaired people: A deep neural network adventure

FS Bashiri, E LaRose, JC Badger, RM D'Souza… - Advances in Visual …, 2018 - Springer
Blindness or vision impairment, one of the top ten disabilities among men and women,
targets more than 7 million Americans of all ages. Accessible visual information is of …