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
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