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Pregled bibliografske jedinice broj: 1219221

Human Intention Recognition for Safe Robot Action Planning Using Head Pose

Orsag, Luka; Stipančić, Tomislav; Koren, Leon; Posavec, Karlo
Human Intention Recognition for Safe Robot Action Planning Using Head Pose // HCI International 2022 - Late Breaking Papers. Multimodality in Advanced Interaction Environments. HCII 2022. Lecture Notes in Computer Science / Kurosu, M. ; Yamamoto, S. ; Mori, H. ; Schmorrow, D.D. ; Fidopiastis, C.M. ; Streitz, N.A. ; Konomi, S. (ur.).
online: Springer, 2022. str. 313-327 doi:10.1007/978-3-031-17618-0_23 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Human Intention Recognition for Safe Robot Action Planning Using Head Pose

Autori
Orsag, Luka ; Stipančić, Tomislav ; Koren, Leon ; Posavec, Karlo

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
HCI International 2022 - Late Breaking Papers. Multimodality in Advanced Interaction Environments. HCII 2022. Lecture Notes in Computer Science / Kurosu, M. ; Yamamoto, S. ; Mori, H. ; Schmorrow, D.D. ; Fidopiastis, C.M. ; Streitz, N.A. ; Konomi, S. - : Springer, 2022, 313-327

ISBN
978-3-031-17617-3

Skup
International Conference on Human-Computer Interaction (HCII 2022)

Mjesto i datum
Online, 26.06.2022. - 01.07.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Human-robot collaboration ; Intention recognition ; Action recognition ; Deep neural networks ; LSTM

Sažetak
An efficient collaborative work between a person and technical system requires a deeper understanding of the human nature including social, cognitive, emotional or any other relationship that the person could have toward the technical system. Such relationships depend also on the case or specific knowledge about the current task they are performing together. Due to safety reasons, increased variability of new products, flexibility, and demands for defect-resistant production, a contemporary production lack such applications where people and robots operate together using social signals or contextual information. The new paradigms that connect vision of Industry 4.0 with artificial intelligence, robotics, and computer networks are inevitably starting the new era of emerging ubiquitous production cells that will be used in factories of the future. Authors propose an addition to a safety framework using a worker intention recognition with head pose information. As an indicator of intentions of a person in everyday communication, besides the experiences that represent a priori knowledge, humans are relying on social signals.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Strojarstvo, Interdisciplinarne tehničke znanosti, Informacijske i komunikacijske znanosti



POVEZANOST RADA

Projekti:
HRZZ-UIP-2020-02-7184 - Afektivna multimodalna interakcija temeljena na konstruiranoj robotskoj spoznaji (AMICORC) (Stipančić, Tomislav, HRZZ - 2020-02) ( CroRIS)

Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Avatar Url Tomislav Stipančić (autor)

Avatar Url Luka Orsag (autor)

Avatar Url Leon Koren (autor)

Poveznice na cjeloviti tekst rada:

doi link.springer.com

Citiraj ovu publikaciju:

Orsag, Luka; Stipančić, Tomislav; Koren, Leon; Posavec, Karlo
Human Intention Recognition for Safe Robot Action Planning Using Head Pose // HCI International 2022 - Late Breaking Papers. Multimodality in Advanced Interaction Environments. HCII 2022. Lecture Notes in Computer Science / Kurosu, M. ; Yamamoto, S. ; Mori, H. ; Schmorrow, D.D. ; Fidopiastis, C.M. ; Streitz, N.A. ; Konomi, S. (ur.).
online: Springer, 2022. str. 313-327 doi:10.1007/978-3-031-17618-0_23 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Orsag, L., Stipančić, T., Koren, L. & Posavec, K. (2022) Human Intention Recognition for Safe Robot Action Planning Using Head Pose. U: Kurosu, M., Yamamoto, S., Mori, H., Schmorrow, D., Fidopiastis, C., Streitz, N. & Konomi, S. (ur.)HCI International 2022 - Late Breaking Papers. Multimodality in Advanced Interaction Environments. HCII 2022. Lecture Notes in Computer Science doi:10.1007/978-3-031-17618-0_23.
@article{article, author = {Orsag, Luka and Stipan\v{c}i\'{c}, Tomislav and Koren, Leon and Posavec, Karlo}, year = {2022}, pages = {313-327}, DOI = {10.1007/978-3-031-17618-0\_23}, keywords = {Human-robot collaboration, Intention recognition, Action recognition, Deep neural networks, LSTM}, doi = {10.1007/978-3-031-17618-0\_23}, isbn = {978-3-031-17617-3}, title = {Human Intention Recognition for Safe Robot Action Planning Using Head Pose}, keyword = {Human-robot collaboration, Intention recognition, Action recognition, Deep neural networks, LSTM}, publisher = {Springer}, publisherplace = {online} }
@article{article, author = {Orsag, Luka and Stipan\v{c}i\'{c}, Tomislav and Koren, Leon and Posavec, Karlo}, year = {2022}, pages = {313-327}, DOI = {10.1007/978-3-031-17618-0\_23}, keywords = {Human-robot collaboration, Intention recognition, Action recognition, Deep neural networks, LSTM}, doi = {10.1007/978-3-031-17618-0\_23}, isbn = {978-3-031-17617-3}, title = {Human Intention Recognition for Safe Robot Action Planning Using Head Pose}, keyword = {Human-robot collaboration, Intention recognition, Action recognition, Deep neural networks, LSTM}, publisher = {Springer}, publisherplace = {online} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • Conference Proceedings Citation Index - Science (CPCI-S)
  • Scopus

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