首页|Research Reports from Maynooth University Provide New Insights into Machine Lear ning (Machine Learning-Based Classification of Body Imbalance and Its Intensity Using Electromyogram and Ground Reaction Force in Immersive Environments)
Research Reports from Maynooth University Provide New Insights into Machine Lear ning (Machine Learning-Based Classification of Body Imbalance and Its Intensity Using Electromyogram and Ground Reaction Force in Immersive Environments)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on artificial intell igence are discussed in a new report. According to news originating from Maynoot h University by NewsRx editors, the research stated, "Body balancing is a comple x task that includes the coordination of muscles, tendons, bones, ears, eyes, and the brain. Imbalance or disequilibrium is the inability to maintain the center of gravity." Funders for this research include Regional Innovation Strategy; National Researc h Foundation of Korea (Nrf)-korea Government. The news journalists obtained a quote from the research from Maynooth University : "Perpetuating body balance plays an important role in preventing us from fAlli ng or swaying. Biomechanical tests and video analysis can be performed to analyz e body imbalance. The musculoskeletal system is one of the fundamental systems b y which our balance or equilibrium is sustained and our upright posture is maint ained. Electromyogram (EMG) and ground reaction force (GRF) monitoring can be ut ilized in cases where a rapid response to body imbalance is a necessity. Body ba lance also depends on visual stimuli that can be either real or virtual. Researc hers have used virtual reality (VR) to predict motion sickness and analyze heart rate variability, as well as in rehabilitation. VR can also be used to induce b ody imbalance in a controlled way. In this research, body imbalance was induced in a controlled way by playing an Oculus game and, simultaneously, EMG and GRF w ere recorded."
Maynooth UniversityCyborgsEmerging T echnologiesMachine Learning
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