Bio-Inspired Locomotion Control of Limbless Robots [[electronic resource] /] / by Guoyuan Li, Houxiang Zhang, Jianwei Zhang |
Autore | Li Guoyuan |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (185 pages) |
Disciplina | 006.3 |
Soggetto topico |
Control engineering
Robotics Automation Marine engineering Artificial intelligence Control, Robotics, Automation Marine Engineering Artificial Intelligence |
ISBN | 981-19-8384-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- Limbless locomotion introduction (classification and the corresponding locomotive features in nature) -- Limbless locomotion control in robotic domain -- Design of a lamprey spinal central pattern generator (CPG) -- Limbless locomotion under the lamprey spinal CPG -- Sensory reflex mechanism -- Adaptive limbless locomotion -- Research challenges . |
Record Nr. | UNINA-9910647399803321 |
Li Guoyuan | ||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Climbing and Walking Robots / / edited by Houxiang Zhang |
Pubbl/distr/stampa | Croatia : , : I-Tech Education and Publishing, , 2007 |
Descrizione fisica | 1 online resource (548 pages) |
Disciplina | 629.892 |
Soggetto topico | Robotics |
ISBN | 953-51-5815-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Climbing and Walking Robots |
Record Nr. | UNINA-9910138307203321 |
Croatia : , : I-Tech Education and Publishing, , 2007 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Mental Fatigue Assessment in Demanding Marine Operations |
Autore | Monteiro Thiago Gabriel |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
Descrizione fisica | 1 online resource (126 pages) |
Altri autori (Persone) | ZhangHouxiang |
ISBN |
9789819730728
9789819730711 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Contents -- Acronyms -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 The Relevance of the Human Factors in Maritime Accidents -- 1.2 Machine Versus Human Failure -- 1.3 Human Errors and Their Causes -- 1.4 Fatigue Assessment -- 1.5 Scope of Research -- 1.6 Book Outline -- References -- 2 Handling Fatigue -- 2.1 Handling Fatigue -- 2.1.1 Fatigue Mitigation -- 2.1.2 Fatigue Recovery Monitoring -- 2.1.3 Fatigue Assessment -- 2.1.4 Fatigue Proofing -- 2.2 Leveraging Fatigue Assessment for Risk Management -- References -- 3 Mental Fatigue Assessment Sensor Framework -- 3.1 Fundamentals of the Proposed Mental Fatigue Assessment Framework -- 3.1.1 Sensors Selection -- 3.1.2 Data Centralization -- 3.1.3 Data Collection and Preprocessing -- 3.1.4 Sensor Fusion -- 3.1.5 Mental Fatigue Assessment -- 3.2 State of the Art of Mental Fatigue Assessment Using EEG -- 3.2.1 Time Domain Methods -- 3.2.2 Frequency Domain Methods -- 3.2.3 Time-Frequency Domain Methods -- 3.2.4 Survey Analysis -- 3.2.5 Mental Fatigue Assessment Software -- 3.2.6 Warning Feedback -- 3.3 Experimental Procedure -- 3.3.1 Scenario-Based Experiment and Simulators -- 3.3.2 Questionnaires and Data Labeling -- References -- 4 Mental Fatigue Assessment Using Artificial Intelligence -- 4.1 Comparing Different NN for Mental Fatigue Assessment -- 4.1.1 Data Collection and Preprocessing -- 4.1.2 Single Subject Analysis -- 4.1.3 Improving Classification Results -- 4.1.4 Cross-Subject Analysis -- 4.2 Improving Mental Fatigue Assessment by Optimization -- 4.2.1 Optimizing CNN Hyperparameters -- 4.2.2 Data Collection and Preprocessing -- 4.2.3 Single Subject Analysis -- 4.2.4 Cross-Subject Analysis -- 4.2.5 Optimization Variables Behavior -- 4.2.6 Assessing Mental Fatigue Level -- 4.3 Impact of Different Sensor Combinations on Mental Fatigue Assessment.
4.3.1 Data Collection and Preprocessing -- 4.3.2 Results -- 4.4 Looking Inside the CNN -- References -- 5 Model-Based Assessment for Multi-subject and Multi-task Scenarios -- 5.1 Mental Fatigue and the Maritime Domain -- 5.2 EEG and Frequency Band Analysis -- 5.2.1 Theta Rhythm (thetaθ) -- 5.2.2 Alpha Rhythm (alphaα) -- 5.2.3 Beta Rhythm (betaβ) -- 5.3 Material and Methods -- 5.3.1 Data Collection and Preprocessing -- 5.3.2 Mental Fatigue Assessment Approach -- 5.3.3 Experimental Procedure -- 5.4 Results and Discussion -- 5.4.1 Multi-subject -- 5.4.2 Multi-subject and Multi-task -- 5.5 The Impact of Different Tasks -- References -- 6 Mental Fatigue Prediction -- 6.1 Measuring and Modelling Mental Fatigue Scenarios -- 6.1.1 Contributing Factors -- 6.1.2 Sensors -- 6.1.3 Mental Fatigue Prediction -- 6.1.4 Database of Previous Scenarios -- 6.1.5 Data-Driven Mental Fatigue Prediction -- 6.2 Modelling Mental Fatigue Progression -- 6.2.1 Time Dependant Mental Fatigue Progression -- 6.2.2 Distress Dependant Mental Fatigue Progression -- 6.2.3 Tunning Models -- 6.3 Simulating Mental Fatigue Scenarios -- 6.3.1 Management Tool -- 6.3.2 Planning Tool -- 6.4 Towards an Intelligent Model for Mental Fatigue and Human Error Prediction -- References -- 7 Research Challenges -- 7.1 The Feasibility of EEG-Based Mental Fatigue Detection Systems -- 7.1.1 Cross-Subject and Cross-Session Mental Fatigue Detection -- 7.1.2 Computational Requirements -- 7.1.3 Portability -- 7.1.4 Intrusiveness -- 7.1.5 Number of Mental Fatigue States -- 7.1.6 Closed Loop System -- 7.2 Directions for Future Work -- References. |
Record Nr. | UNINA-9910865276903321 |
Monteiro Thiago Gabriel | ||
Singapore : , : Springer, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|