Robert Tweedy

ORCID: 0000-0003-2092-940X
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About
Contact & Profiles
Research Areas
  • Indoor and Outdoor Localization Technologies
  • Context-Aware Activity Recognition Systems
  • Video Surveillance and Tracking Methods
  • Bluetooth and Wireless Communication Technologies
  • Robotics and Sensor-Based Localization
  • IoT Networks and Protocols

Emory University
2023

Georgia Institute of Technology
2023

Spatial navigation patterns in indoor space usage can reveal important cues about the cognitive health of participants. In this work, we present a low-cost, scalable, open-source edge computing system using Bluetooth low energy (BLE) beacons for tracking movements large, 1700 m2 facility used to carry out therapeutic activities participants with mild impairment (MCI). The is instrumented 39 systems, along an on-premise fog server. BLE beacon, which signals are received and analyzed by...

10.3390/s23239517 article EN cc-by Sensors 2023-11-30

Camera-based activity monitoring systems are becoming an attractive solution for smart building applications with the advances in computer vision and edge computing technologies. In this paper, we present a feasibility study systematic analysis of camera-based indoor localization multi-person tracking system implemented on devices within large space. To end, deployed end-to-end pipeline that utilizes multiple cameras to achieve localization, body orientation estimation individuals...

10.1109/jispin.2023.3337189 article EN cc-by-nc-nd IEEE Journal of Indoor and Seamless Positioning and Navigation 2023-01-01

Spatial navigation of indoor space usage patterns reveals important cues about the cognitive health individuals. In this work, we present a low-cost, scalable, open-source edge computing system using Bluetooth Low Energy (BLE) and Inertial Measurement Unit sensors (IMU) for tracking movements large facility (over 1600 m^2) that was designed to facilitate therapeutic activities individuals with Mild Cognitive Impairment. The is instrumented 39 systems an on-premise fog server, subjects carry...

10.48550/arxiv.2305.19342 preprint EN other-oa arXiv (Cornell University) 2023-01-01

Camera-based activity monitoring systems are becoming an attractive solution for smart building applications with the advances in computer vision and edge computing technologies. In this paper, we present a feasibility study systematic analysis of camera-based indoor localization multi-person tracking system implemented on devices within large space. To end, deployed end-to-end pipeline that utilizes multiple cameras to achieve localization, body orientation estimation individuals...

10.48550/arxiv.2305.05062 preprint EN cc-by-nc-sa arXiv (Cornell University) 2023-01-01
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