AIMC Topic: User-Computer Interface

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A Low-Complexity Brain-Computer Interface for High-Complexity Robot Swarm Control.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
A brain-computer interface (BCI) is a system that allows a human operator to use only mental commands in controlling end effectors that interact with the world around them. Such a system consists of a measurement device to record the human user's bra...

[Research and application of photovoltaic cell online monitoring system for animal robot stimulator].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Power supply plays a key role in ensuring animal robots to obtain effective stimulation. To extending the stimulating time, there is a need to apply photovoltaic cells and monitor their parameter variations, which can help operators to obtain the opt...

On the change in Speech Quality and Speed with a Tongue Interface for Control of Rehabilitation Robotics - A Case report.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Previous studies have described inductive tongue computer interfaces (ITCI) as a way to manipulate and control assistive robotics, and at least one commercial company is manufacturing ITCI today. This case report investigates the influence of an ITCI...

Proof-of-Concept: A Hands-Free Interface for Robot-Assisted Self-Feeding.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Eating and drinking is an essential part of every-day life. And yet, there are many people in the world today who rely on others to feed them. In this work, we present a prototype robot-assisted self-feeding system for individuals with movement disor...

Overcoming Major Barriers to Build Efficient Decision Support Systems in Pharmacovigilance.

Studies in health technology and informatics
Many decision support methods and systems in pharmacovigilance are built without explicitly addressing specific challenges that jeopardize their eventual success. We describe two sets of challenges and appropriate strategies to address them. The firs...

Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture.

Briefings in bioinformatics
Protein lysine crotonylation (Kcr) is an important type of posttranslational modification that is associated with a wide range of biological processes. The identification of Kcr sites is critical to better understanding their functional mechanisms. H...

Past, present, and future of surgical simulation and perspective of a developing country: A narrative review.

JPMA. The Journal of the Pakistan Medical Association
Healthcare systems around the globe have been revolutionised in the last few decades, resulting in a greater need and demand for surgical education outside the operation theatres. Surgical education through simulations started around 2,500 years ago ...

Prediction and collection of protein-metabolite interactions.

Briefings in bioinformatics
Interactions between proteins and small molecule metabolites play vital roles in regulating protein functions and controlling various cellular processes. The activities of metabolic enzymes, transcription factors, transporters and membrane receptors ...

ABCModeller: an automatic data mining tool based on a consistent voting method with a user-friendly graphical interface.

Briefings in bioinformatics
In order to extract useful information from a huge amount of biological data nowadays, simple and convenient tools are urgently needed for data analysis and modeling. In this paper, an automatic data mining tool, termed as ABCModeller (Automatic Bina...

Beware of the generic machine learning-based scoring functions in structure-based virtual screening.

Briefings in bioinformatics
Machine learning-based scoring functions (MLSFs) have attracted extensive attention recently and are expected to be potential rescoring tools for structure-based virtual screening (SBVS). However, a major concern nowadays is whether MLSFs trained for...