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Attention Score in Context
| Title |
Brain-machine interfacing control of whole-body humanoid motion
|
|---|---|
| Published in |
Frontiers in Systems Neuroscience, August 2014
|
| DOI | 10.3389/fnsys.2014.00138 |
| Pubmed ID | |
| Authors |
Karim Bouyarmane, Joris Vaillant, Norikazu Sugimoto, François Keith, Jun-ichiro Furukawa, Jun Morimoto |
| Abstract |
We propose to tackle in this paper the problem of controlling whole-body humanoid robot behavior through non-invasive brain-machine interfacing (BMI), motivated by the perspective of mapping human motor control strategies to human-like mechanical avatar. Our solution is based on the adequate reduction of the controllable dimensionality of a high-DOF humanoid motion in line with the state-of-the-art possibilities of non-invasive BMI technologies, leaving the complement subspace part of the motion to be planned and executed by an autonomous humanoid whole-body motion planning and control framework. The results are shown in full physics-based simulation of a 36-degree-of-freedom humanoid motion controlled by a user through EEG-extracted brain signals generated with motor imagery task. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 6% |
| Japan | 1 | 3% |
| United Kingdom | 1 | 3% |
| Unknown | 28 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 22% |
| Student > Ph. D. Student | 4 | 13% |
| Researcher | 3 | 9% |
| Student > Master | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 6 | 19% |
| Unknown | 7 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 25% |
| Psychology | 3 | 9% |
| Neuroscience | 3 | 9% |
| Computer Science | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Other | 6 | 19% |
| Unknown | 8 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 July 2014.
All research outputs
#15,303,056
of 22,758,963 outputs
Outputs from Frontiers in Systems Neuroscience
#958
of 1,340 outputs
Outputs of similar age
#133,079
of 230,115 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#34
of 50 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,340 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 230,115 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.