[Computer modeling of human movements].

Area of Science:

• Biomechanics
• Robotics
• Computational dynamics

Context:

• Analyzing human movement is crucial for fields like robotics and ergonomics.
• Existing dynamic models can be computationally intensive, especially when involving differentiation.

Purpose:

• To propose a novel dynamic model for simulating human movements.
• To simplify the computational implementation of dynamic models for human motion.

Summary:

• The proposed model utilizes Lagrange equations of the second order.
• Differential equations are formulated in matrix form for efficient computation.
• Recurrent formulae are employed to calculate model coefficients, avoiding complex differentiation.

Impact:

• Facilitates easier algorithm development for human movement simulation.
• Reduces computational difficulties associated with differentiation on electronic computers.
• Enables more accessible and efficient dynamic analysis of human motion.