Dataset: A video dataset of a wooden box assembly process

Jiayun Zhang; Petr Byvshev; Yu Xiao

doi:10.1145/3419016.3431492

Dataset: A video dataset of a wooden box assembly process

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference contribution › Scientific › vertaisarvioitu

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
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	https://doi.org/10.1145/3419016.3431492
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
Lyhennettä	SenSys
Ajanjakso	01/01/1900 → …

Pääsy asiakirjaan

10.1145/3419016.3431492

Dataset: A video dataset of a wooden box assembly processFinal published version, 2,04 MB

Link to publication in Scopus

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2 Päättynyt

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
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)

Siteeraa tätä

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title = "Dataset: A video dataset of a wooden box assembly process",

abstract = "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.",

keywords = "Video Datasets, Assembly",

author = "Jiayun Zhang and Petr Byvshev and Yu Xiao",

year = "2020",

month = nov,

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doi = "10.1145/3419016.3431492",

language = "English",

pages = "35--39",

booktitle = "DATA 2020 - Proceedings of the 3rd Workshop on Data Acquisition To Analysis, Part of SenSys 2020, BuildSys 2020",

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AU - Zhang, Jiayun

AU - Byvshev, Petr

AU - Xiao, Yu

PY - 2020/11/16

Y1 - 2020/11/16

N2 - 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.

AB - 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.

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KW - Assembly

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DO - 10.1145/3419016.3431492

M3 - Conference contribution

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BT - DATA 2020 - Proceedings of the 3rd Workshop on Data Acquisition To Analysis, Part of SenSys 2020, BuildSys 2020

PB - ACM

T2 - ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS

Y2 - 1 January 1900

ER -

Dataset: A video dataset of a wooden box assembly process

Abstrakti

Conference

Pääsy asiakirjaan

DEBARE: Deep-learning Based Activity Recognition on the Edge

CEAMA: CEAMA Cognitive Engine for Assembly and Maintenance Automation

Siteeraa tätä