Cargando…

Application of Machine Learning in Air Hockey Interactive Control System

In recent years, chip design technology and AI (artificial intelligence) have made significant progress. This forces all of fields to investigate how to increase the competitiveness of products with machine learning technology. In this work, we mainly use deep learning coupled with motor control to...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chang, Ching-Lung, Chen, Shuo-Tsung, Chang, Chuan-Yu, Jhou, You-Chen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767285/ https://www.ncbi.nlm.nih.gov/pubmed/33348665 http://dx.doi.org/10.3390/s20247233

Ejemplares similares

Application of Deep Reinforcement Learning to NS-SHAFT Game Signal Control
por: Chang, Ching-Lung, et al.
Publicado: (2022)

Evaluating the Effect of Topical Atropine Use for Myopia Control on Intraocular Pressure by Using Machine Learning
por: Wu, Tzu-En, et al.
Publicado: (2020)

High-Efficiency Automatic Recharging Mechanism for Cleaning Robot Using Multi-Sensor
por: Chang, Ching-Lung, et al.
Publicado: (2018)

Optimization of the Hockey Fans in Training (Hockey FIT) weight loss and healthy lifestyle program for male hockey fans
por: Blunt, Wendy, et al.
Publicado: (2017)

Pilot Study of Embedded IMU Sensors and Machine Learning Algorithms for Automated Ice Hockey Stick Fitting
por: Léger, Taylor, et al.
Publicado: (2022)

Impact of coupling topology upon noise robustness of small optical reservoirs
por: Cheng, Tian-You, et al.
Publicado: (2020)

Hockey STAR: A Methodology for Assessing the Biomechanical Performance of Hockey Helmets
por: Rowson, Bethany, et al.
Publicado: (2015)

Increased air temperature decreases high-speed, but not total distance, in international field hockey
por: James, Carl A, et al.
Publicado: (2021)

Machine Learning Algorithm Predicts Mortality Risk in Intensive Care Unit for Patients with Traumatic Brain Injury
por: Tu, Kuan-Chi, et al.
Publicado: (2023)

Clinical Predictors of Prolonged Hospital Stay in Patients with Myasthenia Gravis: A Study Using Machine Learning Algorithms
por: Chang, Che-Cheng, et al.
Publicado: (2021)

Authors' Response to Hockey and Reidak
por: Licinio, Julio
Publicado: (2006)

Important Risk Factors in Patients with Nonvalvular Atrial Fibrillation Taking Dabigatran Using Integrated Machine Learning Scheme—A Post Hoc Analysis
por: Huang, Yung-Chuan, et al.
Publicado: (2022)

Integrated Machine Learning Decision Tree Model for Risk Evaluation in Patients with Non-Valvular Atrial Fibrillation When Taking Different Doses of Dabigatran
por: Huang, Yung-Chuan, et al.
Publicado: (2023)

Injuries to Ice Hockey Referees and Linesmen: A Survey of International Ice Hockey Federation Officials
por: Popkin, Charles A., et al.
Publicado: (2022)

Hockey Fans in Training (Hockey FIT) pilot study protocol: a gender-sensitized weight loss and healthy lifestyle program for overweight and obese male hockey fans
por: Gill, Dawn P., et al.
Publicado: (2016)

Bodychecking Rules and Concussion in Elite Hockey
por: Donaldson, Laura, et al.
Publicado: (2013)

Using Modified Equipment in Field Hockey Leads to Positive Transfer of Learning Effect
por: Brocken, Johanna E. A., et al.
Publicado: (2021)

Conspicuous Response to Direct-Acting Antivirals in Chronic Hepatitis C-related Immune Thrombocytopenia: A Case Report
por: Tsai, Tsung-Lung, et al.
Publicado: (2022)

Characteristics of external loads of Hockey5s associated with the new version of U16 youth field hockey competition
por: Konarski, Jan M., et al.
Publicado: (2023)

Utilization of Decision Tree Algorithms for Supporting the Prediction of Intensive Care Unit Admission of Myasthenia Gravis: A Machine Learning-Based Approach
por: Chang, Che-Cheng, et al.
Publicado: (2022)

Hockey Fans in Training: A Pilot Pragmatic Randomized Controlled Trial
por: PETRELLA, ROBERT J., et al.
Publicado: (2017)

Cómo jugar hockey y su arbitraje
por: Singh, Gian
Publicado: (1961)

Profile: Freya Blekman, from hockey to Higgs
Publicado: (2009)

THE COMPETITIVE DEMANDS OF ELITE MALE RINK HOCKEY
por: Yagüe, PL., et al.
Publicado: (2013)

Forecasting Air Quality in Taiwan by Using Machine Learning
por: Lee, Mike, et al.
Publicado: (2020)

“I Went to a Fight the Other Night and a Hockey Game Broke Out”: Is Professional Hockey Fighting Calculated or Impulsive?
por: Goldschmied, Nadav, et al.
Publicado: (2013)

Self-Regulation in High-Level Ice Hockey Players: An Application of the MuSt Theory
por: Ruiz, Montse C., et al.
Publicado: (2021)

Evaluation of a decided sample size in machine learning applications
por: Rajput, Daniyal, et al.
Publicado: (2023)

Air quality monitoring using mobile microscopy and machine learning
por: Wu, Yi-Chen, et al.
Publicado: (2017)

Acceptance and Commitment Training for Ice Hockey Players: A Randomized Controlled Trial
por: Lundgren, Tobias, et al.
Publicado: (2021)

Modeling Validation and Control Analysis for Controlled Temperature and Humidity of Air Conditioning System
por: Lee, Jing-Nang, et al.
Publicado: (2014)

What Is Injury in Ice Hockey: An Integrative Literature Review on Injury Rates, Injury Definition, and Athlete Exposure in Men’s Elite Ice Hockey
por: Donskov, Anthony S., et al.
Publicado: (2019)

Dietary Intake of Young Male Ice Hockey Players 10–13 Years of Age during a Week-Long Hockey Camp
por: Vermeulen, Tyler F., et al.
Publicado: (2022)

Applications of machine learning techniques to a sensor-network-based prosthesis training system
por: Huang, Chenn-Jung, et al.
Publicado: (2011)

Application of Machine Learning for Drug–Target Interaction Prediction
por: Xu, Lei, et al.
Publicado: (2021)

Enhanced Efficiency of Semitransparent Perovskite Solar Cells via Double-Sided Sandwich Evaporation Technique for Four Terminal Perovskite-Silicon Tandem Application
por: Jhou, Jia-Ci, et al.
Publicado: (2022)

Health Data-Driven Machine Learning Algorithms Applied to Risk Indicators Assessment for Chronic Kidney Disease
por: Chiu, Yen-Ling, et al.
Publicado: (2021)

Machine Learning Models for the Prediction of Renal Failure in Chronic Kidney Disease: A Retrospective Cohort Study
por: Su, Chuan-Tsung, et al.
Publicado: (2022)

Application of a Machine Learning Method for Prediction of Urban Neighborhood-Scale Air Pollution
por: Wai, Ka-Ming, et al.
Publicado: (2023)

Application of Machine Learning Methods to Predict the Air Half-Lives of Persistent Organic Pollutants
por: Zhang, Ying, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_2112mnp1jqb3ftjg4fbk6dtuhh