2022/10/14 –, pyconjp_3
言語: English
We live in an era in which well-used information can improve our quality of life. Still, sometimes it can harm our privacy situations such as physical tracking. As more tools became available, more information about our physical bodies could be accessed. In this session, we will learn about skeleton tracking and have an approximation of the available technology, to analyse human group behaviour.
Tracking the invisible: Geoinformatics and Human Social Behavior
Introduction
Body tracking is a practice leading to the personal identification of people. With the right technology, we can do better. Skeleton data processing is a great option to analyse human behaviour with an added layer of privacy. In this talk, you will learn from Geoinformatics about body tracking and a few setups to obtain anonymous data.
Motivation
How can we enjoy technological solutions from research and industry while keeping our identities undisclosed? Computer vision. Depth cameras. Skeleton tracking. As more tools became available, more information about our physical bodies could be accessed. Thus, we need to implement techniques that give us a sense of security without giving up new services or products.
Programm
The session includes:
- Self-introduction (1 minute)
- Overview session (1 minute)
- Motivation (2 minutes): Why understanding human social behaviour is important
- Methodology :
- Which information can/should be extracted (3 minutes)
- Technologies available to extract relevant bodily information (5 minutes)
- Some libraries available to explore (3 minutes)
- PyZed configuration (with Zed camera) (5 to 7 minutes)
- Algorithm implemented to process skeleton data in Python (5 to 7 minutes) - Conclusions/Summary (1 minute)
What is this talk not about:
- Code specifications related to the main camera development
Violeta Ana Luz Sosa León received her joint Master’s degree in Geospatial Technologies from the University of Muenster (Germany), Universidad Jaume I (Spain), and Universidade NOVA de Lisboa (Portugal), in 2020. Currently, she pursues her PhD degree in Geoinformatics in Germany. As a spatial software developer, her research focuses on analysing social behaviour from 3D skeleton data to model human interaction. She worked as a senior software developer and development manager for diverse academia and industry projects in Latinoamerica.
Link to personal website violetasdev.com