Results 1 to 10 of about 104,434 (268)

The Identification, Development, and Evaluation of BIM-ARDM: A BIM-Based AR Defect Management System for Construction Inspections

Buildings, 2022
This article presents our findings from a three-stage research project, which consists of the identification, development, and evaluation of a defect management Augmented Reality (AR) prototype that incorporates Building Information Modelling (BIM ...
Kieran W. May, Chandani KC, Jose Jorge Ochoa, Ning Gu, James Walsh, Ross T. Smith, Bruce H. Thomas   +6 more
doaj   +1 more source

Scenario-Based Sensed Human Motion Editing and Validation Through the Motion-Sphere

IEEE Access, 2022
Synthesizing realistic human motion data using a real-time motion capture system in a controlled environment is a critical challenge. In addition, effectively manipulating the existing motion data is another primary concern and using such modified data ...
Bharatesh Chakravarthi, Ashok Kumar Patil, Jae Yeong Ryu, Adithya Balasubramanyam, Young Ho Chai   +4 more
doaj   +1 more source

An Open-Source Platform for Human Pose Estimation and Tracking Using a Heterogeneous Multi-Sensor System

Sensors, 2021
Human pose estimation and tracking in real-time from multi-sensor systems is essential for many applications. Combining multiple heterogeneous sensors increases opportunities to improve human motion tracking.
Ashok Kumar Patil, Adithya Balasubramanyam, Jae Yeong Ryu, Bharatesh Chakravarthi, Young Ho Chai   +4 more
doaj   +1 more source

Robust Instant Angle Speed Measurement for Internal Combustion Engines—A Novel Sensing Suite and Methodology

Sensors, 2022
This paper presents the development and implementation of a novel robust sensing and measurement system that achieves fine granularity and permits new insights into operation of rotational machinery.
Ioan Porumb, Romeo Marian, Kutluyil Doğançay, Javaan Singh Chahl   +3 more
doaj   +1 more source

Fusion of Multiple Lidars and Inertial Sensors for the Real-Time Pose Tracking of Human Motion

Sensors, 2020
Today, enhancement in sensing technology enables the use of multiple sensors to track human motion/activity precisely. Tracking human motion has various applications, such as fitness training, healthcare, rehabilitation, human-computer interaction ...
Ashok Kumar Patil, Adithya Balasubramanyam, Jae Yeong Ryu, Pavan Kumar B N, Bharatesh Chakravarthi, Young Ho Chai   +5 more
doaj   +1 more source

Task-related, intrinsic oscillatory and aperiodic neural activity predict performance in naturalistic team-based training scenarios

Scientific Reports, 2022
Effective teams are essential for optimally functioning societies. However, little is known regarding the neural basis of two or more individuals engaging cooperatively in real-world tasks, such as in operational training environments.
Zachariah R. Cross, Alex Chatburn, Lee Melberzs, Philip Temby, Diane Pomeroy, Matthias Schlesewsky, Ina Bornkessel-Schlesewsky   +6 more
doaj   +1 more source

Motion-Sphere: Visual Representation of the Subtle Motion of Human Joints

Applied Sciences, 2020
Understanding and differentiating subtle human motion over time as sequential data is challenging. We propose Motion-sphere, which is a novel trajectory-based visualization technique, to represent human motion on a unit sphere. Motion-sphere adopts a two-
Adithya Balasubramanyam, Ashok Kumar Patil, Bharatesh Chakravarthi, Jae Yeong Ryu, Young Ho Chai   +4 more
doaj   +1 more source

A Syntactical Spatio-Functional Analysis of Four Typical Historic Chinese Towns from a Heritage Tourism Perspective

Land, 2022
This study presents a quantitative approach to exploring the spatio-functional characteristics of historic Chinese towns (HCTs) from a heritage tourism perspective.
Pan Liao, Rongrong Yu, Ning Gu, Sahar Soltani   +3 more
doaj   +1 more source

A dataset of EEG recordings from 47 participants collected during a virtual reality working memory task where attention was cued by a social avatar and non-social stick cue

Data in Brief, 2022
This data article describes electroencephalography (EEG) and behavioral data from 47 participants. Data was collected using a 64 channel eego™ sports mobile EEG system during a visual working memory task presented in virtual reality (VR) using Unity with
Samantha E.A. Gregory, Hongfang Wang, Klaus Kessler   +2 more
doaj   +1 more source

Examining Computer–Supported 3D Event Recreation for Enhancing Cognitive Load, Memorability, and Engagement

Multimodal Technologies and Interaction, 2020
Three-dimensional rendering technologies have long been utilized for explanatory purposes in scientific visualization and related areas. Their applications to wider fields, however, have often been limited.
Ruochen Cao, James Walsh, Andrew Cunningham, Mark Kohler, Ross T. Smith, Bruce H. Thomas   +5 more
doaj   +1 more source