A5020654621- Water Quality Monitoring Technologies
- Indoor and Outdoor Localization Technologies
- Non-Invasive Vital Sign Monitoring
- IoT-based Smart Home Systems
- Video Surveillance and Tracking Methods
- Anomaly Detection Techniques and Applications
- Context-Aware Activity Recognition Systems
Cognizant (United States)
2020
Institute of Electronics, Computer and Telecommunication Engineering
2020
National Research Council
2020
Low-complexity and privacy-respecting human sensing is a challenging task in smart environments as it requires the orchestration of multiple sensors, low-impact machine learning (ML) methods, resource-constrained Internet Things (IoT) devices. Client/server-based architectures are typically employed to support sensor fusion. However, these need data be moved to/from cloud or centers, which contrary fundamental requirement IoT applications limit costs, complexity, memory footprint,...
Massive and unobtrusive screening of people in public environments is becoming a critical task to guarantee safety congested shared spaces, as well support early non-invasive diagnosis response disease outbreaks. Among various sensors Internet Things (IoT) technologies, thermal vision systems, based on low-cost infrared (IR) array sensors, allow track signatures induced by moving people. Unlike contact tracing applications that exploit short-range communications, IR-based sensing systems are...
Thermal vision systems based on low-cost infrared (IR) array sensors allow to track thermal signatures induced by moving people and are promising technologies for monitoring body temperatures as well social distancing in critical congested areas. This paper proposes a Bayesian framework joint recognition of temperature location (distance direction arrival) an indoor operational environment. Unlike conventional frame-based methods, the proposed approach exploits statistical model estimation...
Infrared (IR) thermal vision systems provide a passive and contact-less framework to evaluate temporal signatures of people presence in indoor scenarios. However, static 2D IR projection complex 3D objects cannot sufficient information for large-scale continuous estimation tasks. This paper proposes change-point detection algorithm that jointly fuses distance obtained from an array ultrasonic sensor detect targets, namely human subjects, inside environment. An extensive validation phase has...