Search Results - "Unger, Tim"

  • Showing 1 - 6 results of 6
Refine Results
  1. 1

    Impact of a shoulder exosuit on range of motion, endurance, and task execution in users with neurological impairments.

    Authors: Esser, Adrian Müller, Fabian Manczurowsky, Julia et al.

    Source: Wearable Technologies; 2025, Vol. 6, p1-22, 22p

    Save to List
  2. 2

    Robustness of Deep Learning Architectures with Respect to Training Data Variation.

    Authors: Bartschat, Andreas Unger, Tim Scherr, Tim et al.

    Source: Proceedings. 22. Workshop Computational Intelligence. 2018, p129-138. 10p.

    Subjects: Robust statistics, Deep learning, Image segmentation, Decision making, Big data

    PDF Full Text
    Save to List
  3. 3

    Usability of capturing upper limb movement kinematics in clinical routine: Do wearable sensors beat markerless motion capture?

    Authors: Unger, Tim Yao, Xin Schmitt, Anna et al.

    Source: Gait & Posture. 2025 Supplement, Vol. 121, p66-67. 2p.

    Save to List
  4. 4

    Evaluating inter- and intra-rater reliability in assessing upper limb compensatory movements post-stroke: creating a ground truth through video analysis?

    Authors: Sauerzopf, Lena Panduro, Celina G. Chavez Luft, Andreas R. et al.

    Source: Journal of NeuroEngineering & Rehabilitation (JNER). 12/20/2024, Vol. 21, p1-13. 13p.

    HTML Full Text PDF Full Text
    Save to List
  5. 5

    Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams-A feasibility study.

    Authors: Unger T Kühnis B Sauerzopf L et al.

    Source: Frontiers in medicine [Front Med (Lausanne)] 2025 Nov 14; Vol. 12, pp. 1645369. Date of Electronic Publication: 2025 Nov 14 (Print Publication: 2025).

    Publication Type: Journal Article

    Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE

    HTML Full Text PDF Full Text
    Save to List
  6. 6

    Towards routine biomechanical data collection in stroke rehabilitation: a usability comparison of IMU and markerless motion capture systems for functional upper-limb assessments.

    Authors: Unger T Yao X Schmitt A et al.

    Source: Journal of neuroengineering and rehabilitation [J Neuroeng Rehabil] 2026 Jul 07. Date of Electronic Publication: 2026 Jul 07.

    Publication Type: Journal Article

    Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101232233 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1743-0003 (Electronic) Linking ISSN: 17430003 NLM ISO Abbreviation: J Neuroeng Rehabil Subsets: MEDLINE

    Save to List

Search Tools: