Eating Habits Related to Pregnancy, Body Perception, Attractiveness and Self-Confidence. [PDF]
Faruga-Lewicka W +4 more
europepmc +1 more source
Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
wiley +1 more source
Factor structure and psychometric properties of the Body Perception Questionnaire-Short Form (BPQ-SF); The Persian version. [PDF]
Najari S +3 more
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
Editorial: Rising stars in: evolutionary psychology 2022
Katherine Aumer +2 more
doaj +1 more source
Navigating Body Perception, Affectivity, Intimacy, Gender Identity, and Sexuality: An Exploratory Qualitative Study in Young Adults with SMI, IDs, and ASD in a Community Setting. [PDF]
Belluzzo M +5 more
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
Corrigendum: Somatic symptoms: association among affective state, subjective body perception, and spiritual belief in Japan and Indonesia. [PDF]
Maulina VVR, Yogo M, Ohira 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

