Preface; Organization; Contents; Part IInvited Papers; Modelling and Analysing Mixed Reality Applications; 1 Introduction; 2 MIRELA Framework; 3 Analysis; 3.1 Deadlock Detection and Graph Analysis; 3.2 Indefinite Waiting Detection; 3.3 Starvation Viz. Unbounded Waiting Detection; 4 Temporal Properties; 5 Support for PRISM; 6 Implementation Strategy; 7 Conclusion and Future Work; References; A Generative Approach to Tracking Hands and Their Interaction with Objects; 1 Introduction; 2 The Proposed Generative Approach; 2.1 Tracking Hands in Isolation; 2.2 Tracking Interacting Hands

3 DiscussionReferences; Design of Biomedical Robots for the Analysis of Cancer, Neurodegenerative and Rare Diseases; 1 Introduction; 2 The Oncogenomics Problem; 3 Biomedical Robots; 3.1 Sensitivity Analysis; 3.2 Chronic Lymphocytic Leukemia; 3.3 Inclusion Body Myositis and Polymiositis; 3.4 Amyotrophic Lateral Sclerosis; 4 Conclusion; References; Generation of Power Law: Maximum Entropy Framework and Superstatistics; 1 Introduction; 2 Entropy Measures and Maximum Entropy Principle; 3 MEP and Power Law; 3.1 MEP and Tsallis Entropy; 3.2 MEP, Geometric Mean and Shannon Entropy

4 Power Law: Weighted Mixture of Exponentials5 Brownian Motion in State Dependent Random Force: Emergence of Power Law; 6 Power Laws in Social Systems; 6.1 Power Law in Learning/Forgetting; 6.2 Frequency of Causalities in a Deadly Conflict; 7 ISI Distribution and Power Law: Superstatistics; 8 Conclusion; References; Optimal Control of Multi-phase Movements with Learned Dynamics; 1 Introduction; 1.1 Adaptive Learning for Optimal Control; 2 Problem Formulation; 2.1 Hybrid Dynamics with Time-Based Switching and Discrete State Transition; 2.2 Robot Dynamics with Variable Stiffness Actuation

2.3 Movement Optimisation of Multiple Phases2.4 Optimal Control of Switching Dynamics and Discrete State Transition; 3 Brachiation System Dynamics; 4 Experimental Setup; 4.1 Individual Phase Learning; 4.2 Multi-phase Performance; 4.3 Performance of Learning; 5 Conclusion; References; Computable Extensions of Advanced Fractional Kinetic Equation and a Class of Levy-Type Probabilities; 1 Section I; 1.1 Introduction; 1.2 Relationship of the [alpha],[beta],y,[omega],[pi] pMqk1lq; c(t) Function and Other Special Functions; 1.3 Governing Fractional Kinetic Equation

1.4 Advanced Generalized Fractional Kinetic Equations1.5 Special Cases; 1.6 Result and Discussion; 2 Section II; 3 Conclusions; References; Part IIHuman-Computer Interfaces; A Model-Driven Engineering Approach to the Evaluation of a Remote Controller of a Movement Assistant System; 1 Introduction; 2 Related Work; 3 Modelling of Exoskeleton System; 3.1 Exoskeleton System; 3.2 UML Structural Models; 3.3 UML Behavioral Models; 4 Experiments; 4.1 Code Generation; 4.2 Model Testing; 5 Conclusions; References; Neural Network and Kalman Filter Use for Improvement of Inertial Distance Determination