Results 81 to 90 of about 12,248 (263)

SPECIFICS OF VISUALIZATION OF STUDY MATERIAL WITH AUGMENTED REALITY WHILE STUDYING NATURAL SCIENCES

open access: yesВідкрите освітнє е-середовище сучасного університету, 2019
Augmented reality (AR) gives the ability to visualize an object (atoms and molecules, their interference, circuits of the devices, technological processes, etc.) as much as possible, meaning to convert a 2D image to 3D, as well as “make it alive”.
Lilia Midak, Olha Kuzyshyn, Lilia Baziuk
doaj   +1 more source

Muscle Control of an Extra Robotic Digit

open access: yesAdvanced 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   +7 more
wiley   +1 more source

Leveraging augmented reality in education involving new pedagogies with emerging societal relevance

open access: yesDiscover Sustainability
Recent innovations and development in educational technologies have revolutionized the methods and tools used for teaching and learning. Among these innovative technologies augmented reality is emerging as a promising educational technology that can be ...
Tabasum Mirza   +3 more
doaj   +1 more source

Affordances in Mobile Augmented Reality Applications

open access: yesInternational Journal of Interactive Mobile Technologies (iJIM), 2014
This paper explores the affordances of augmented reality content in a mobile augmented reality application. A user study was conducted by performing a multi-camera video recording of seven think aloud sessions. The think aloud sessions consisted of individual users performing tasks, exploring and experiencing a mobile augmented reality (MAR ...
openaire   +4 more sources

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced Robotics Research, EarlyView.
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

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