Projekteja vuodessa
Abstrakti
This paper presents a video dataset of a 9-step wooden box assembly process including 17 subjects. The main strength of this dataset is the design of a standard and uniform workflow and the use of multiple cameras capturing videos from two different viewpoints. 62 video files were collected with the total size of 20 GB and the total duration of 13 hours. Each of the video is complemented with temporal annotations that indicate the starting and ending timestamps of each work step in the assembly process. We also provide statistical descriptive analyses of the recorded processes. Our dataset can be utilized for developing solutions to human activity recognition, process documentation, and many others that involve human-object interaction.
Alkuperäiskieli | Englanti |
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Otsikko | DATA 2020 - Proceedings of the 3rd Workshop on Data Acquisition To Analysis, Part of SenSys 2020, BuildSys 2020 |
Kustantaja | ACM |
Sivut | 35-39 |
Sivumäärä | 5 |
ISBN (elektroninen) | 9781450381369 |
DOI - pysyväislinkit | |
Tila | Julkaistu - 16 marraskuuta 2020 |
OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisuussa |
Tapahtuma | ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS - Kesto: 1 tammikuuta 1900 → … |
Conference
Conference | ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS |
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Lyhennettä | SenSys |
Ajanjakso | 01/01/1900 → … |
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Projektit
- 2 Päättynyt
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DEBARE: Deep-learning Based Activity Recognition on the Edge
Xiao, Y., Pouta, E., Guridi Sotomayor, S. & Xie, J.
20/05/2019 → 31/10/2020
Projekti: EU: Framework programmes funding
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CEAMA: CEAMA Cognitive Engine for Assembly and Maintenance Automation
Lee, J., Pham, T., Wirtanen, S., Xiao, Y., Souza Leite, C., Byvshev, P., Pouta, E., Nyman, P. & Hirvonen, V.
01/08/2018 → 31/01/2020
Projekti: Business Finland: New business from research ideas (TUTLI)