A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa +10 more
wiley +1 more source
Fear avoidance beliefs, anxiety, and depression in healthy individuals and persons with vestibular disorders across cultures. [PDF]
Van Laer L +5 more
europepmc +1 more source
From Rigid to Soft Robotic Approaches for Neuroendoscopy
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday +3 more
wiley +1 more source
The validity and reliability of Turkish adaptation of the Fear-Avoidance Beliefs Questionnaire in patients with neck pain. [PDF]
Ozuberk B, Aslan UB, Ekici G.
europepmc +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Fear-avoidance in recovered burn patients : association with psychological and somatic symptoms
Fear-avoidance, an important model in the understanding of chronic pain, has not yet been studied in patients with burns. The purpose of this study was to investigate if recovered burn patients have fear-avoidance beliefs and to explore the association ...
Ekselius, Lisa +8 more
core +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
Frequency of Fear Avoidance Beliefs in Patients with Neck Pain
Background: Psychological factors like fear leads to decrease movement and development of beliefs that results in avoidance from physical activity in patients with neck pain.FAB i.e. fear avoidance beliefs (either with work or physical activity) not only restrict the participation of patient in active rehabilitation program but also hinder social ...
Saba Murad +4 more
openaire +1 more source
Validity and reliability of the Turkish version of the Fear Avoidance Beliefs Questionnaire
Purpose: The aim of this study was to provide the Turkish adaptation of the Fear Avoidance Beliefs Questionnaire (FABQ) and to investigate its psychometric properties (reliability and validity). Methods: The questionnaire was tested in 101 patients with chronic low back pain.
Bingül Özcan , Özlem +1 more
openaire +3 more sources
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

