Brief Introduction of the OpenPack Dataset and Lessons Learned from Organizing Activity Recognition Challenge Using the Dataset

This paper presents an overview of OpenPack, a comprehensive dataset developed for recognizing packaging work activities, and discusses an activity recognition competition using this dataset. The availability of sensor datasets for recognizing work activities in industrial settings has been limited. This limitation has restricted research and development in industrial application methods based on activity recognition. To accelerate work activity recognition studies, OpenPack provides 53.8 hours of diverse sensor data, including acceleration data, keypoints, depth images, and readings from IoT devices such as handheld barcode scanners. This paper analyzes this data and propose several research directions based on OpenPack. We organized an activity recognition competition, OpenPack Challenge 2022, based on the OpenPack dataset. This paper also shares lessons learned from organizing the competition with the UbiComp and activity recognition research community. The OpenPack dataset is available at https://open-pack.github.io/.