Part I: Gait Biomechanics - Tripping, Slipping and Balance Loss 1. Fundamentals of Gait Biomechanics 2. Kinematics and Kinetics of Lower Limb Swing Phase Trajectory Control 3. Minimum Foot-Ground Clearance (MFC) and Tripping Probability Modelling 4. Required Coefficient of Friction (RCOF) and Slipping Prediction 5. Gait Adaptations due to Ageing, Injury and Pathologies 6. Gait Impairments Causing Tripping, Slipping and Balance Loss Part II: Gait Assisting Techniques and Devices 7. Biofeedback-Based Gait Training Interventions 8.

Passive Exoskeletons 9. Active Exoskeletons 10. Intelligent Footwear: Smart Insoles, Shoe-Mounted Sensors Part III: Machine Learning Applications to Gait Assisting Techniques 11. Predicting Gait Kinematics from Inertial Sensors 12. Limb Trajectory Prediction (i): Critical Failure Events 13. Limb Trajectory Prediction (ii): Intelligent Assistive Device Control and Tripping Hazard Recognition Part IV Conclusions, Emerging Techniques and Future Directions 14. Future Challenges in Rehabilitation and Injury Prevention 15. Research Directions in Gait Biomechanics and Machine Learning 16.

References.