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#movementdataanalytics — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #movementdataanalytics, aggregated by home.social.

  1. Automatisierte Videoanalyse im Sport: Wie KI Bewegungen messbar macht und neue Analysen ermöglicht

    Digitaler Wissensstammtisch mit Prof. Dr. Mirco Fuchs (HTWK Leipzig) am 28. Mai 2026 von 18:00 - 19:30 Uhr via Zoom.

    Die Teilnahme an der Veranstaltung ist kostenlos.

    Link zur Veranstaltung:
    us06web.zoom.us/j/82345402575?

    Inhalt:
    Die Analyse von Bewegungen ist eine zentrale Fragestellung in vielen Anwendungsfeldern des Sports. Sie reicht von der Technik- #Diagnostik im Training über die Wettkampfanalyse bis hin zum Monitoring der langfristigen Leistungsentwicklung. Auf Grundlage #KI basierter Verfahren lassen sich heute nahezu vollautomatische Analyseprozesse umsetzen, die bisher aufgrund des hohen manuellen Aufwands nicht praktikabel, nicht regelmäßig einsetzbar oder nur ausgewählten Kontexten vorbehalten waren. Anhand von Beispielen aus dem #Kanu Rennsport wird vorgestellt, wie aus konkreten Fragestellungen des Spitzenbereichs schrittweise praxistaugliche Lösungen entwickelt wurden und wie diese Perspektiven auch für den Nachwuchsbereich nutzbar gemacht werden können. Ergänzend werden weitere Impulse und Anregungen anhand von Beispielen aus dem #Kite-Segeln und dem #Handball präsentiert.

    wvl-wm.de/

    #sciencenews #wissenschaft #wissenschaftskommunikation #movementdataanalytics #kitesurfing #canoe

  2. Automatisierte Videoanalyse im Sport: Wie KI Bewegungen messbar macht und neue Analysen ermöglicht

    Digitaler Wissensstammtisch mit Prof. Dr. Mirco Fuchs (HTWK Leipzig) am 28. Mai 2026 von 18:00 - 19:30 Uhr via Zoom.

    Die Teilnahme an der Veranstaltung ist kostenlos.

    Link zur Veranstaltung:
    us06web.zoom.us/j/82345402575?

    Inhalt:
    Die Analyse von Bewegungen ist eine zentrale Fragestellung in vielen Anwendungsfeldern des Sports. Sie reicht von der Technik- #Diagnostik im Training über die Wettkampfanalyse bis hin zum Monitoring der langfristigen Leistungsentwicklung. Auf Grundlage #KI basierter Verfahren lassen sich heute nahezu vollautomatische Analyseprozesse umsetzen, die bisher aufgrund des hohen manuellen Aufwands nicht praktikabel, nicht regelmäßig einsetzbar oder nur ausgewählten Kontexten vorbehalten waren. Anhand von Beispielen aus dem #Kanu Rennsport wird vorgestellt, wie aus konkreten Fragestellungen des Spitzenbereichs schrittweise praxistaugliche Lösungen entwickelt wurden und wie diese Perspektiven auch für den Nachwuchsbereich nutzbar gemacht werden können. Ergänzend werden weitere Impulse und Anregungen anhand von Beispielen aus dem #Kite-Segeln und dem #Handball präsentiert.

    wvl-wm.de/

    #sciencenews #wissenschaft #wissenschaftskommunikation #movementdataanalytics #kitesurfing #canoe

  3. Automatisierte Videoanalyse im Sport: Wie KI Bewegungen messbar macht und neue Analysen ermöglicht

    Digitaler Wissensstammtisch mit Prof. Dr. Mirco Fuchs (HTWK Leipzig) am 28. Mai 2026 von 18:00 - 19:30 Uhr via Zoom.

    Die Teilnahme an der Veranstaltung ist kostenlos.

    Link zur Veranstaltung:
    us06web.zoom.us/j/82345402575?

    Inhalt:
    Die Analyse von Bewegungen ist eine zentrale Fragestellung in vielen Anwendungsfeldern des Sports. Sie reicht von der Technik- #Diagnostik im Training über die Wettkampfanalyse bis hin zum Monitoring der langfristigen Leistungsentwicklung. Auf Grundlage #KI basierter Verfahren lassen sich heute nahezu vollautomatische Analyseprozesse umsetzen, die bisher aufgrund des hohen manuellen Aufwands nicht praktikabel, nicht regelmäßig einsetzbar oder nur ausgewählten Kontexten vorbehalten waren. Anhand von Beispielen aus dem #Kanu Rennsport wird vorgestellt, wie aus konkreten Fragestellungen des Spitzenbereichs schrittweise praxistaugliche Lösungen entwickelt wurden und wie diese Perspektiven auch für den Nachwuchsbereich nutzbar gemacht werden können. Ergänzend werden weitere Impulse und Anregungen anhand von Beispielen aus dem #Kite-Segeln und dem #Handball präsentiert.

    wvl-wm.de/

    #sciencenews #wissenschaft #wissenschaftskommunikation #movementdataanalytics #kitesurfing #canoe

  4. Do I have any followers here who used scikit-mobility's human mobility metrics?

    Since isn't maintained anymore, we're considering porting the essential functionality to @movingpandas and would love to have more feedback, especially if it's first-hand experience with the functionality:

    github.com/movingpandas/moving

  5. Do I have any followers here who used scikit-mobility's human mobility metrics?

    Since #skmob isn't maintained anymore, we're considering porting the essential functionality to @movingpandas and would love to have more feedback, especially if it's first-hand experience with the functionality:

    github.com/movingpandas/moving

    #GIScience #MobilityDataScience #MovementDataAnalytics

  6. Do I have any followers here who used scikit-mobility's human mobility metrics?

    Since #skmob isn't maintained anymore, we're considering porting the essential functionality to @movingpandas and would love to have more feedback, especially if it's first-hand experience with the functionality:

    github.com/movingpandas/moving

    #GIScience #MobilityDataScience #MovementDataAnalytics

  7. Do I have any followers here who used scikit-mobility's human mobility metrics?

    Since #skmob isn't maintained anymore, we're considering porting the essential functionality to @movingpandas and would love to have more feedback, especially if it's first-hand experience with the functionality:

    github.com/movingpandas/moving

    #GIScience #MobilityDataScience #MovementDataAnalytics

  8. Do I have any followers here who used scikit-mobility's human mobility metrics?

    Since #skmob isn't maintained anymore, we're considering porting the essential functionality to @movingpandas and would love to have more feedback, especially if it's first-hand experience with the functionality:

    github.com/movingpandas/moving

    #GIScience #MobilityDataScience #MovementDataAnalytics

  9. If you're at , I'd love to see you at our workshop focused on tomorrow morning 🌄

    09:00-10:15 Session 1A: WS: Mobility Data Science & KI – Potenziale für den öffentlichen Verkehr

  10. If you're at #AGIT2025, I'd love to see you at our #MobilityDataScience workshop focused on #PublicTransport tomorrow morning 🌄

    09:00-10:15 Session 1A: WS: Mobility Data Science & KI – Potenziale für den öffentlichen Verkehr

    #AI4PT #MovementDataAnalytics

  11. If you're at #AGIT2025, I'd love to see you at our #MobilityDataScience workshop focused on #PublicTransport tomorrow morning 🌄

    09:00-10:15 Session 1A: WS: Mobility Data Science & KI – Potenziale für den öffentlichen Verkehr

    #AI4PT #MovementDataAnalytics

  12. If you're at #AGIT2025, I'd love to see you at our #MobilityDataScience workshop focused on #PublicTransport tomorrow morning 🌄

    09:00-10:15 Session 1A: WS: Mobility Data Science & KI – Potenziale für den öffentlichen Verkehr

    #AI4PT #MovementDataAnalytics

  13. If you're at #AGIT2025, I'd love to see you at our #MobilityDataScience workshop focused on #PublicTransport tomorrow morning 🌄

    09:00-10:15 Session 1A: WS: Mobility Data Science & KI – Potenziale für den öffentlichen Verkehr

    #AI4PT #MovementDataAnalytics

  14. Struggling to resist the urge to put more stuff on my demo poster for @mdm

    What do you think?
    1. Put more! ✨
    2. Enough! 👌
    3. Too crowded already 😖

  15. I've had smoother releases 🙃

    But hey, 0.21 is here github.com/movingpandas/moving

    Make sure to update if you want to use the new plugin version which will be released soon 🆙

  16. Leaving Prague with tons of new ideas and impressions.

    Thanks @martinfleis and team for organizing and hosting this 2nd edition of SDSL. Looking forward to many more to come

  17. Pleasure to see more and more use from students:

    "we utilize the stop detection tools provided by MovingPandas"

    Wicaksono, S. B. (2024). From Data Cleaning to Predictive Models: A Strategic Approach to Analyzing Bus and Ship Trajectories. Master Thesis in Data Science, Department of Mathemetics, University of Padova.

    thesis.unipd.it/handle/20.500.

  18. New Trajectools 2.1 and MovingPandas 0.18 releases

    Today marks the 2.1 release of for . This release adds multiple new algorithms and improvements. Since some improvements involve upstream functionality, I recommend to also update MovingPandas while you're at it.

    anitagraser.com/2024/05/20/new

  19. 🎉 Our demo has been accepted to the 24th International Conference on Mobile Data Management @mdm

    Looking forward to bringing to

  20. Trajectools 2.0 released 🎉

    It's my pleasure to share with you that 2.0 just landed in the official Plugin Repository. This is the first version without the "experimental" flag. If you look at the plugin release history, you will see that the previous release was from 2020. That's quite a while ago, and a lot has happened since…

    anitagraser.com/2024/02/24/tra

  21. Very interesting ✈️ patterns here:

    Visualisation of all civil flights over on 22th of May 2018 from 00-24h by user neboysh

    - Data source:
    (Air traffic management surveillance tracker and server), 4002 unique extracted from 3 million tracking points

    - Software: 3.2.1

    flickr.com/photos/10169636@N07

  22. New 🚴 track analytics demo key topics are:

    1️⃣ Using @movingpandas with local image coordinates
    2️⃣ Georeferencing video-based trajectories using @qgis VectorBender plugin

    anitagraser.com/2023/05/21/ana

    tracks extracted from footage 🎥 courtesy of @mszll

  23. @mszll did some vector georeferencing with the Vector Bender plugin plugins.qgis.org/plugins/Vecto for fun to see where that would lead us

    With enough ground control points, this could work to some degree. It won't be perfect but should improve speed estimates

  24. We're happy to announce that the new version 0.16 has just been released 🎉

    This is the first release to support 2.0

    In addition, new features include:
    🎈 New custom unit support for distance, speed, and acceleration functions
    🎈 Improved plots with arrow markers to indicate direction

    More details:
    github.com/movingpandas/moving

  25. Today, I've been revisiting our 2021 book chapter on for large

    Crazy that it has been only 2 years, well 3 since most of the writing happened. Too bad the figures are only b/w, but I still like them

  26. Today, I've been revisiting our 2021 book chapter on #Exploratory #DataAnalysis for large #MovementData

    Crazy that it has been only 2 years, well 3 since most of the writing happened. Too bad the figures are only b/w, but I still like them

    #EDA #MovementDataAnalytics #ais

  27. Today, I've been revisiting our 2021 book chapter on #Exploratory #DataAnalysis for large #MovementData

    Crazy that it has been only 2 years, well 3 since most of the writing happened. Too bad the figures are only b/w, but I still like them

    #EDA #MovementDataAnalytics #ais

  28. Today, I've been revisiting our 2021 book chapter on #Exploratory #DataAnalysis for large #MovementData

    Crazy that it has been only 2 years, well 3 since most of the writing happened. Too bad the figures are only b/w, but I still like them

    #EDA #MovementDataAnalytics #ais

  29. Earlier this year, I tested the plugins with limited success: fosstodon.org/@underdarkGIS/11

    After relaunching , I've finally gotten around to integrating the first GTFS algorithms into it.

    Currently testing with GTFS datasets from mobilitydata.gv.at/daten/soll-

    Not sure why there is a gap in the network at Lorüns 🤔

  30. Exploring a hierarchical -based model for representation and analysis

    Today's post is a first quick dive into (really just getting my toes wet). It's based on a publicly available Neo4J dump containing data, ship trajectories to be specific.

    anitagraser.com/2023/11/05/exp

  31. 2.4 release

    In this new release, you will find new algorithms, default output styles, and other usability improvements, in particular for working with public transport schedules in format

    anitagraser.com/2025/01/11/tra

  32. Yay or nay?

    I'm contemplating changing the behavior of the TemporalSplitter in @movingpandas because I think that there should be no gaps in the results 🤔

    Details: github.com/movingpandas/moving

  33. Urban Mobility Insights with & in 

    Today, I want to point out a blog post over at written together with my fellow co-authors and @emeraldseu project team member Argyrios Kyrgiazos.

    For the technically inclined, the highlight are the presented UDFs in Snowflake to process and transform the trajectory data.

    anitagraser.com/2024/12/17/urb

  34. The MobilityDB team is proud to announce the first release candidate of and 1.2
    github.com/MobilityDB/Mobility

    MobilityDB 1.2 supports v13-17

    Major changes:
    * Update embedded code from 3.2 to 3.5
    * QoL changes to the build & test processes
    * Bug fixes & performance improvements
    * & C API changes
    * Fix memory leaks in MEOS
    * Add support for pkg-config to the MEOS shared library

    Full Changelog:
    github.com/MobilityDB/Mobility

  35. Good morning Prague. Ready for to begin.

    Yesterday's trip to Prague was luckily uneventful after our train left Vienna with a one hour delay due to the flood situation