Evidence map›Paper›PMID 39122843›Full record

ArticleScientific reports2024

Tele-Impedance control of a virtual avatar based on EMG and M-IMU sensors: a proof-of-concept.

Silvia Buscaglione, Alessia Noccaro, Nevio Tagliamonte, Giulia Ticchiarelli, Giovanni Di Pino, Domenico Formica

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Silvia BuscaglioneNeXT Lab: Research Unit of Neurophysiology and Neuroengineering of Human-Technology Interaction, Universitá Campus Bio-Medico di Roma, 00128, Rome, Italy. s.buscaglione@unicampus.it.
Alessia NoccaroNeurorobotics Lab, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
Nevio TagliamonteCREO Lab: Research Unit of Advanced Robotics and Human-Centred Technologies, Universitá Campus Bio-Medico di Roma, 00128, Rome, Italy.
Giulia TicchiarelliNeXT Lab: Research Unit of Neurophysiology and Neuroengineering of Human-Technology Interaction, Universitá Campus Bio-Medico di Roma, 00128, Rome, Italy.
Giovanni Di PinoNeXT Lab: Research Unit of Neurophysiology and Neuroengineering of Human-Technology Interaction, Universitá Campus Bio-Medico di Roma, 00128, Rome, Italy.
Domenico FormicaNeXT Lab: Research Unit of Neurophysiology and Neuroengineering of Human-Technology Interaction, Universitá Campus Bio-Medico di Roma, 00128, Rome, Italy.

Funding

Horizon2020 ICT-871803
6 · The paper itself

Abstract

The broad spread of cooperative robots into many application domains has resulted in a demand for intuitive and effective solutions for teleoperated control. A relevant role in teleoperation has been assumed by impedance controllers, that allow the increase of stability and accuracy during interaction. This paper aims to test a teleoperation method based on an impedance controller, namely tele-impedance control, that is usable in unstructured environments since it relies only on wearable sensors. The proposed solution maps the joint stiffness and position of the human user, computed through six EMG and two M-IMU sensors, into the remote system to be teleoperated. We developed a 2-DoFs virtual task involving virtual physical interactions to compare the performance of our solution with the one of a traditional position-based controller. The study has been conducted on five healthy participants, who experienced both controllers in two different sessions. The tele-impedance approach has proved to be less physically demanding and more intuitive than the position-based one. Experimental data also allow us to investigate the strategy employed by the volunteers in the case of remote interactions, while using the two controllers. Of note, even though with the position controller the variation of subject impedance has no effect on the virtual arm, participants still tend to regulate both impedance and position of their own arm.

Indexed as

AvatarElectric ImpedanceElectromyographyAdultFemaleHumansMaleRoboticsUser-Computer Interface

Identifiers

PMID39122843
PMCPMC11315926

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.