---
_id: '1799'
article_number: '2481'
author:
- first_name: Koenraad
  full_name: Vandevoorde, Koenraad
  id: '242844'
  last_name: Vandevoorde
- first_name: Lukas
  full_name: Vollenkemper, Lukas
  id: '245570'
  last_name: Vollenkemper
- first_name: Constanze
  full_name: Schwan, Constanze
  last_name: Schwan
- first_name: Martin
  full_name: Kohlhase, Martin
  id: '226669'
  last_name: Kohlhase
  orcid: 0009-0002-9374-0720
- first_name: Wolfram
  full_name: Schenck, Wolfram
  id: '224375'
  last_name: Schenck
  orcid: 0000-0003-3300-2048
citation:
  alphadin: '<span style="font-variant:small-caps;">Vandevoorde, Koenraad</span> ;
    <span style="font-variant:small-caps;">Vollenkemper, Lukas</span> ; <span style="font-variant:small-caps;">Schwan,
    Constanze</span> ; <span style="font-variant:small-caps;">Kohlhase, Martin</span>
    ; <span style="font-variant:small-caps;">Schenck, Wolfram</span>: Using Artificial
    Intelligence for Assistance Systems to Bring Motor Learning Principles into Real
    World Motor Tasks. In: <i>Sensors</i> Bd. 22, MDPI AG (2022), Nr. 7'
  ama: Vandevoorde K, Vollenkemper L, Schwan C, Kohlhase M, Schenck W. Using Artificial
    Intelligence for Assistance Systems to Bring Motor Learning Principles into Real
    World Motor Tasks. <i>Sensors</i>. 2022;22(7). doi:<a href="https://doi.org/10.3390/s22072481">10.3390/s22072481</a>
  apa: Vandevoorde, K., Vollenkemper, L., Schwan, C., Kohlhase, M., &#38; Schenck,
    W. (2022). Using Artificial Intelligence for Assistance Systems to Bring Motor
    Learning Principles into Real World Motor Tasks. <i>Sensors</i>, <i>22</i>(7).
    <a href="https://doi.org/10.3390/s22072481">https://doi.org/10.3390/s22072481</a>
  bibtex: '@article{Vandevoorde_Vollenkemper_Schwan_Kohlhase_Schenck_2022, title={Using
    Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles
    into Real World Motor Tasks}, volume={22}, DOI={<a href="https://doi.org/10.3390/s22072481">10.3390/s22072481</a>},
    number={72481}, journal={Sensors}, publisher={MDPI AG}, author={Vandevoorde, Koenraad
    and Vollenkemper, Lukas and Schwan, Constanze and Kohlhase, Martin and Schenck,
    Wolfram}, year={2022} }'
  chicago: Vandevoorde, Koenraad, Lukas Vollenkemper, Constanze Schwan, Martin Kohlhase,
    and Wolfram Schenck. “Using Artificial Intelligence for Assistance Systems to
    Bring Motor Learning Principles into Real World Motor Tasks.” <i>Sensors</i> 22,
    no. 7 (2022). <a href="https://doi.org/10.3390/s22072481">https://doi.org/10.3390/s22072481</a>.
  ieee: K. Vandevoorde, L. Vollenkemper, C. Schwan, M. Kohlhase, and W. Schenck, “Using
    Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles
    into Real World Motor Tasks,” <i>Sensors</i>, vol. 22, no. 7, 2022.
  mla: Vandevoorde, Koenraad, et al. “Using Artificial Intelligence for Assistance
    Systems to Bring Motor Learning Principles into Real World Motor Tasks.” <i>Sensors</i>,
    vol. 22, no. 7, 2481, MDPI AG, 2022, doi:<a href="https://doi.org/10.3390/s22072481">10.3390/s22072481</a>.
  short: K. Vandevoorde, L. Vollenkemper, C. Schwan, M. Kohlhase, W. Schenck, Sensors
    22 (2022).
date_created: 2022-04-04T10:08:43Z
date_updated: 2026-03-17T15:28:25Z
doi: 10.3390/s22072481
file:
- access_level: open_access
  content_type: application/pdf
  creator: kvandevoorde
  date_created: 2022-04-04T10:07:48Z
  date_updated: 2022-04-04T10:07:48Z
  file_id: '1800'
  file_name: sensors-22-02481-v3.pdf
  file_size: 2869767
  relation: main_file
  success: 1
file_date_updated: 2022-04-04T10:07:48Z
has_accepted_license: '1'
intvolume: '        22'
issue: '7'
keyword:
- motor learning
- motor skill learning
- assistance system
- artificial intelligence
- machine learning
- pose estimation
- action recognition
- human motion analysis
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.mdpi.com/1424-8220/22/7/2481
oa: '1'
publication: Sensors
publication_identifier:
  eissn:
  - 1424-8220
publication_status: published
publisher: MDPI AG
quality_controlled: '1'
status: public
title: Using Artificial Intelligence for Assistance Systems to Bring Motor Learning
  Principles into Real World Motor Tasks
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
urn: urn:nbn:de:hbz:bi10-17992
user_id: '245590'
volume: 22
year: '2022'
...
---
_id: '1217'
author:
- first_name: Wolfram
  full_name: Schenck, Wolfram
  id: '224375'
  last_name: Schenck
  orcid: 0000-0003-3300-2048
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-3300-2048/work/94914410
citation:
  alphadin: '<span style="font-variant:small-caps;">Schenck, Wolfram</span>: Robot
    studies on saccade-triggered visual prediction. In: <i>New Ideas in Psychology</i>
    Bd. 31, Elsevier (2013), Nr. 3, S. 221–238'
  ama: Schenck W. Robot studies on saccade-triggered visual prediction. <i>New Ideas
    in Psychology</i>. 2013;31(3):221-238. doi:<a href="https://doi.org/10.1016/j.newideapsych.2012.12.003">10.1016/j.newideapsych.2012.12.003</a>
  apa: Schenck, W. (2013). Robot studies on saccade-triggered visual prediction. <i>New
    Ideas in Psychology</i>, <i>31</i>(3), 221–238. <a href="https://doi.org/10.1016/j.newideapsych.2012.12.003">https://doi.org/10.1016/j.newideapsych.2012.12.003</a>
  bibtex: '@article{Schenck_2013, title={Robot studies on saccade-triggered visual
    prediction}, volume={31}, DOI={<a href="https://doi.org/10.1016/j.newideapsych.2012.12.003">10.1016/j.newideapsych.2012.12.003</a>},
    number={3}, journal={New Ideas in Psychology}, publisher={Elsevier}, author={Schenck,
    Wolfram}, year={2013}, pages={221–238} }'
  chicago: 'Schenck, Wolfram. “Robot Studies on Saccade-Triggered Visual Prediction.”
    <i>New Ideas in Psychology</i> 31, no. 3 (2013): 221–38. <a href="https://doi.org/10.1016/j.newideapsych.2012.12.003">https://doi.org/10.1016/j.newideapsych.2012.12.003</a>.'
  ieee: W. Schenck, “Robot studies on saccade-triggered visual prediction,” <i>New
    Ideas in Psychology</i>, vol. 31, no. 3, pp. 221–238, 2013.
  mla: Schenck, Wolfram. “Robot Studies on Saccade-Triggered Visual Prediction.” <i>New
    Ideas in Psychology</i>, vol. 31, no. 3, Elsevier, 2013, pp. 221–38, doi:<a href="https://doi.org/10.1016/j.newideapsych.2012.12.003">10.1016/j.newideapsych.2012.12.003</a>.
  short: W. Schenck, New Ideas in Psychology 31 (2013) 221–238.
date_created: 2021-06-03T19:36:08Z
date_updated: 2026-03-17T15:28:17Z
doi: 10.1016/j.newideapsych.2012.12.003
intvolume: '        31'
issue: '3'
keyword:
- Visual prediction
- Motor learning
- Eye–arm coordination
- Mental imagery
- Cognitive modeling
- Robotics
language:
- iso: eng
main_file_link:
- url: https://www.sciencedirect.com/science/article/pii/S0732118X13000044
page: 221-238
publication: New Ideas in Psychology
publication_identifier:
  issn:
  - 0732-118X
publication_status: published
publisher: Elsevier
status: public
title: Robot studies on saccade-triggered visual prediction
type: journal_article
user_id: '33980'
volume: 31
year: '2013'
...