Human Activity Recognition Challenge: OpenPack Challenge 2022

[Keisuke Fujii]

IBISMLメーリングリストの皆様
 
名古屋大学の藤井慶輔と申します。

以前お送りしたOpenPack Challenge 2022の英語版を転送いたします。

ご興味がありそうな方に転送して頂けますと幸いです。

よろしくお願いいたします。

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Dear colleagues,
We would like to announce a human activity recognition competition using a worker activity sensor dataset of packaging work, named OpenPack. The task of the competition is very simple: Recognize 10 work operations from the OpenPack dataset.
The top three winners will receive (1) a cash prize and (2) financial support for travel to the award ceremony at PerCom 2023 Workshop in Atlanta, USA.
You can find details on our website at https://open-pack.github.io/challenge2022
== Task ==
Recognize 10 Work Operations in OpenPack Dataset
== Dataset ==
OpenPack Dataset (v0.3.x)
OpenPacking Dataset is a new large-scale multi-modal dataset of packing processes. OpenPack is an open access logistics-dataset for human activity recognition, which contains 53 hours of human movement data with 20,129 instances of work operation annotation. In addition, OpenPack dataset contains data from IoT-enabled devices and rich metadata such as error annotation and order information.
== Schedule ==
15, Oct, 2022 --- Launch
15, Jan, 2023 --- Final Submission Deadline
13-17, Mar, 2023 --- Award Ceremony @ PerCom 2023 WS
== Website ==
Challenge: https://open-pack.github.io/challenge2022
Dataset: https://open-pack.github.io/