Results 211 to 220 of about 876,302 (269)

Muscle Control of an Extra Robotic Digit

Advanced Robotics Research, EarlyView.
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ, Lucy Dowdall, Francesco Cenciarelli, Kitty Goodridge, Mabel Ziman, Hristo Dimitrov, Danielle Clode, Tamar R. Makin   +7 more
wiley   +1 more source

Graphical Perception of Icon Arrays versus Bar Charts for Value Comparisons in Health Risk Communication. [PDF]

IEEE Trans Vis Comput Graph
Kandel J, Liu J, Wang AZ, Tseng C, Szafir DA.   +4 more
europepmc   +1 more source

A Multidirectional Textile Interface for Remote Control Using Dynamic Area‐Based Capacitance Modulation

Advanced Robotics Research, EarlyView.
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, Fulya Yenilmez, Kadir Ozlem, Hakan Kestir, Eren Tasdemir, Berkant Bakisli, Gökhan Ince, Ozgur Atalay, Asli Tuncay Atalay   +8 more
wiley   +1 more source

How risk communication shapes individual response to climate change: an experimental study. [PDF]

Sci Rep
Antonioni A, González-Casado MA, Andrighetto G, Lipari F, Szekely A, Traulsen A, Sánchez A.   +6 more
europepmc   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
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, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source

Developing a theory of risk communication for biological events: A grounded theory study in Iran as a lower middle-income country. [PDF]

J Educ Health Promot
Mohsenzadeh Y, Farrokhi M, Saatchi M, Pisheh EG, Khankeh H.   +4 more
europepmc   +1 more source

Key features of sustainable capacities for risk communication in health emergencies: analysis of Joint External Evaluation. [PDF]

J Glob Health
Takeda A, Seino K, Okuda H, Saito T, Tomio J.   +4 more
europepmc   +1 more source

Preparing to Play With Fire: Exploring Bushfire Preparedness and Risk Communication Among University Students in Australia. [PDF]

Health Promot J Austr
Agius C, Shibata M.
europepmc   +1 more source

"Would you want to know?" Questions of utility and responsibility in Italian laypersons' preferences about genetic risk communication. [PDF]

J Community Genet
Godino L, Turchetti D, Battistuzzi L, Varesco L, Nardi E, Gentili V, Chiari P, Palese A.   +7 more
europepmc   +1 more source