Indoor Group Identification and Localization Using Privacy-Preserving Edge Computing Distributed Camera Network
Social interaction behaviors change as a result of both physical and psychiatric problems,
and it is important to identify subtle changes in group activity engagements for monitoring …
and it is important to identify subtle changes in group activity engagements for monitoring …
A feasibility study on indoor localization and multi-person tracking using sparsely distributed camera network with edge computing
Camera-based activity monitoring systems are becoming an attractive solution for smart
building applications with the advances in computer vision and edge computing …
building applications with the advances in computer vision and edge computing …
Detecting socially occupied spaces with depth cameras: evaluating location and body orientation as relevant social features
VAL Sosa-León, A Schwering - 2021 International Conference …, 2021 - ieeexplore.ieee.org
Studying people's movement and social interaction in indoor spaces requires detecting
where and when interactions happen. So far, sensor-based systems for detecting …
where and when interactions happen. So far, sensor-based systems for detecting …
Evaluating automatic body orientation detection for indoor location from skeleton tracking data to detect socially occupied spaces using the Kinect v2, Azure Kinect …
VAL Sosa-León, A Schwering - Sensors, 2022 - mdpi.com
Analysing the dynamics in social interactions in indoor spaces entails evaluating spatial–
temporal variables from the event, such as location and time. Additionally, social interactions …
temporal variables from the event, such as location and time. Additionally, social interactions …
Graph Trilateration for Indoor Localization in Sparsely Distributed Edge Computing Devices in Complex Environments Using Bluetooth Technology
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 …
cognitive health of participants. In this work, we present a low-cost, scalable, open-source …
Vivid: Augmenting vision-based indoor navigation system with edge computing
Indoor localization and navigation have a great potential of application, especially in large
indoor spaces where people tend to get lost. The indoor localization problem is the …
indoor spaces where people tend to get lost. The indoor localization problem is the …
Group analytics and insights for public spaces
Detecting the group context of an individual (ie, whether an individual is alone or part of a
group) in crowded public spaces, such as shopping malls, is an important goal with many …
group) in crowded public spaces, such as shopping malls, is an important goal with many …
Detecting group sizes and human-centered interaction using 3D stereo vision cameras
Extracting valuable information from sensor data concerning group sizes and human-
centered interactions will play a crucial role in balancing building functions according to user …
centered interactions will play a crucial role in balancing building functions according to user …
[HTML][HTML] Multicamera edge-computing system for persons indoor location and tracking
This paper presents an indoor person localization and tracking system that uses multiple
smart cameras equipped with artificial intelligence (AI) accelerators serving as edge …
smart cameras equipped with artificial intelligence (AI) accelerators serving as edge …
Passive and cost effective people location tracking system for indoor environments using distributed wireless sensor network
To be context-aware, one of the central issues in sensor networks is location tracking, whose
goal is to monitor the tracking path of a moving object. This paper describes our indoor …
goal is to monitor the tracking path of a moving object. This paper describes our indoor …