From Metrics to Meaning in Neurological Rehabilitation: Clinicians' Perspectives on Digital Metrics of Upper Limb Functioning-A Focus Group Study. [PDF]
Pohl J +3 more
europepmc +1 more source
Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini +7 more
wiley +1 more source
Enhancing Work Efficiency and Safety Culture in the Food Industry Using Behavioral Patterns: A Video-Based Case Study from Poland. [PDF]
Kabiesz P +3 more
europepmc +1 more source
An enhanced universal gripper combining rigid mechanics with self‐adaptable fingers is presented for industrial automation. The novel six‐bar linkage with integrated compliant pad eliminates mechanical interference while enabling passive shape adaptation.
Muhammad Usman Khalid +7 more
wiley +1 more source
"Short" is not always "scientific": cross-sectional quality assessment and machine learning-based evaluation of weight management short videos on TikTok and Bilibili. [PDF]
Du J, Zhu L, Zhou H.
europepmc +1 more source
A Soft Robotic Fish With a Dielectric Elastomer Actuator Body and Negative Stiffness Spine
This work introduces a bio‐mimetic soft robotic fish driven by fiber‐reinforced dielectric elastomer actuators integrated as its body. By prestretching this active skin against a flexible spine, a negative stiffness system is created, enabling large‐amplitude bending.
Markus Koenigsdorff +4 more
wiley +1 more source
Exploring large language model applications in dance education from an educational psychology perspective. [PDF]
Zhao L, Huang Q, Zhou K, Teng L, Tang P.
europepmc +1 more source
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
Video-Based Skill Assessment for Postoperative T-Tube Nursing is Associated with Improved Clinical Outcomes and Patient Satisfaction: A Single-Center Retrospective Comparative Study. [PDF]
Zhang B, Li Y, Zhao H.
europepmc +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source

