The majority of human behaviors are composed of automatic movements (e.g., walking or finger-tapping) which are learned during nurturing and can be performed simultaneously without interfering with other tasks. One critical and yet to be examined assumption is that the attention system has the innate capacity to modulate automatic movements. The present study tests this assumption. Setting no deliberate goals for movement, we required sixteen participants to perform personalized and well-practiced finger-tapping movements in three experiments while focusing their attention on either different component fingers or away from movements. Using cutting-edge pose estimation techniques to quantify tapping trajectory, we showed that attention to movement can disrupt movement automaticity, as indicated by decreased inter-finger and inter-trial temporal coherence; facilitate the attended and inhibit the unattended movements in terms of tapping amplitude; and re-organize the action sequence into distinctive patterns according to the focus of attention. These findings demonstrate compelling evidence that attention can modulate automatic movements and provide an empirical foundation for theories based on such modulation in controlling human behavior.
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http://dx.doi.org/10.1038/s41598-020-80296-z | DOI Listing |
Cureus
November 2024
Research Institute of Health and Welfare, Kibi International University, Takahashi, JPN.
Proliferative diabetic retinopathy (PDR) and peripheral arterial disease (PAD) of the lower extremities are serious complications of type 2 diabetes mellitus (T2DM). Aerobic exercise has been shown to be primarily effective for glycemic control and gait disturbance owing to PAD. However, the safety and efficacy of exercise therapy in patients with PDR remain unclear.
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December 2024
Computing for Sustainability and Social Good (C2SG) Research Group, United International University, Dhaka, Bangladesh.
In the twenty-first century, maritime routes are crucial for geographical and financial reasons in riverine countries. Compared to the available technology abroad, Bangladesh has insufficient monitoring of water vessels to tackle any possible disaster, such as vessel collisions for inland water transportation. One of the frequent outcomes of this architecture is regular capsizing, which sometimes leads to loss of lives.
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December 2024
Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA, 01605, USA.
Multicellular spheroids embedded in 3D hydrogels are prominent in vitro models for 3D cell invasion. Yet, quantification methods for spheroid cell invasion that are high-throughput, objective and accessible are still lacking. Variations in spheroid sizes and the shapes of the cells within render it difficult to objectively assess invasion extent.
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December 2024
College of Sports, Beihua University, Jilin, 132000, China.
In order to eliminate the impact of camera viewpoint factors and human skeleton differences on the action similarity evaluation and to address the issue of human action similarity evaluation under different viewpoints, a method based on deep metric learning is proposed in this article. The method trains an automatic encoder-decoder deep neural network model by means of a homemade synthetic dataset, which maps the 2D human skeletal key point sequence samples extracted from motion videos into three potential low-dimensional dense spaces. Action feature vectors independent of camera viewpoint and human skeleton structure are extracted in the low-dimensional dense spaces, and motion similarity metrics are performed based on these features, thereby effectively eliminating the effects of camera viewpoint and human skeleton size differences on motion similarity evaluation.
View Article and Find Full Text PDFJ Funct Morphol Kinesiol
December 2024
Curtin School of Allied Health, Curtin University, Kent Street, Bentley, Perth, WA 6102, Australia.
: The purpose of this research was to create a peak detection algorithm and machine learning model for use in triathlon. The algorithm and model aimed to automatically measure movement cadence in all three disciplines of a triathlon using data from a single inertial measurement unit and to recognise the occurrence and duration of cycling task changes. : Six triathletes were recruited to participate in a triathlon while wearing a single trunk-mounted measurement unit and were filmed throughout.
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