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"Development of Convergence Training Products using Indoor Healthcare Wearable Tags based on UWB High-Precision Positioning Technology"
"Development of Convergence Training Products using Indoor Healthcare Wearable Tags based on UWB High-Precision Positioning Technology"
The goal of this project is to develop a personalized coaching and convergence training product that provides posture correction and Augmented Reality (AR) feedback by accurately tracking the movement and position of arms, legs, and the upper/lower body during squat exercises using proprietary UWB technology. Furthermore, it aims to secure competitiveness by developing technology specialized for blind spots in residential spaces, ensuring a flexible system that operates without limitations regarding user movement or environmental changes during indoor workouts.
Project Period : 2024.09 ~ 2025.08 (1year)
Mid-career Researcher Program
Mid-career Researcher Program
"D2D Collaborative Technical Research of Ultra-precision on positioning based on the Sensor Convergence for Interactive Media"
The purpose of this research is to develop low-latency/ultra-precise positioning techniques required for the Augmented Reality, Mixed Reality, and others for the interactive media by Multimodal Sensor Fusion based on Intelligent D2D collaborative algorithms and Edge Computing techniques. Furthermore, it is aimed to verify with the real test-bed establish composed of active terminal in order to maximize the suggested techniques practicality.
Project Period : 2020.09 ~ 2024.02 (3-year 6-month)
Research on Mission Variable Multi-Drone Networks funded by Ministry of National Defense
Research on Mission Variable Multi-Drone Networks funded by Ministry of National Defense
The main objective of this project is to design reliable TDMA MAC/Multi-hop routing protocols for flying ad-hoc networks consisting of mission-variable multiple drones, and to perform comprehensive M&S(Modeling & Simulation) study using OPNET
Project Period : 2019.11 ~ 2023.10 (4-year)
MR-IoT Convergence based Disaster Response using AI Research Center
MR-IoT Convergence based Disaster Response using AI Research Center
Development and implementation of disaster preparedness and response technologies based on MR-IoT-AI convergence applications, aimed at demonstrating the effectiveness of proactive disaster response in specific scenarios.
Sub-project 3 (Prof. Young-Bae Ko's Team)
Edge Intelligence Technology for IoT-interconnected MR Devices
Research on Infrastructure-less AR/UWB Convergence Positioning in Disaster Environments
Project Period : 2018.07 ~ 2023.12 (5-yest & 6-month)
(Our Center Homepage http://AIRC.ajou.ac.kr )
Main Research Topic
Main Research Topic
Intelligence of Connected Things
Intelligence of Connected Things
Smart IoT Connectivity platforms, Energy IoT
Location based Intelligence
Location based Intelligence
IR-UWB based Indoor Positioning, Infra-less Positioning
Cognitive Networked Systems
Cognitive Networked Systems
Machine Learning, Cognitive Radio Routing
Adaptive Military Networks
Adaptive Military Networks
Swarming Drones, Trustful Tactical IoT
Future Internet
Future Internet
Data-Centric Network, Edge Computing
Intelligence of Connected Things
Intelligence of Connected Things
Lots of networks such as wired networks, wireless networks, set networks, mobile networks and various other networks are being connected into one and in our field where devices and appliances is used to give users useful information and computing functions automatically, our purpose of the research is to stabilize network conditions so that users could use their devices faster and convenient. For this, we deal with latency, energy, and offloading in the sensors, proceeds our research in networks routing pathway, end users’ user experience, and others which could be included in overall field of the Smart IoT platform.
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