the above problem in a bio-inspired manner and also endeavoured various soft-computing techniques presently being used in biped locomotion for the use in prosthesis. An attempt to implement neural architecture controller using Central Pattern Generator (CPG) for prosthesis has been made. Earlier we thought

Abstract The objective of this study was to develop an efficient methodology for generating muscle-actuated simulations of human walking that closely reproduce experimental measures of kinematics and ground reaction forces. We first introduce a residual elimination algorithm (REA) to compute

observed significant activation of the CEN and deactivation of the DMN, along with activation of a third network comprising the right fronto-insular cortex (rFIC) and anterior cingulate cortex (ACC), when participants perceived salient auditory event boundaries. Using chronometric techniques and Granger

Abstractm This paper presents a new methodology for gener-ating a straight legged walking pattern for a biped robot utilizing up-and-down motion of an upper body. Firstly, we define two new indexes, the Knee Stretch Index (KSI) and the Knee Torque Index (KTI), which indicate how efficiently

prostheses, gait cycle characterization is based on accelerometers signals processed by an events detection algorithm. Two intelligent control strategies are presented: a bio-inspired approach, that consists of using a central pattern generator to generate a knee angle reference to be followed

Abstract — Achieving a stable, human-like gait with a humanoid robot is a challenging problem. While several rather simple as well as more complex techniques exist to generate stable walking patterns, only little attention has been paid towards the resemblance to the human gait. Popular gaits

and moment of inertia acting at various joints. Free Body Diagram (FBD) and Link Segment Model (LSM) are used for computing forces & moments using Inverse Dynamics (ID) technique. Available lower limb walking model is limited in terms of number of joint forces and moments are analyzed; so, the improved

This paper presents a general method for generating walking primitives for anthropomorphic 3D--bipeds. Corresponding control torques allowing straight ahead walking with pre--swing, swing, and heel--contact are derived by dynamic optimization using a direct collocation approach. The computed

Bipedal locomotion was simulated to generate a pattern of activating muscles for walking using electrical stimulation in persons with spinal cord injury (SCI) or stroke. The simulation presented in this study starts from a model of the body determined with user-specific parameters, individualized

Abstract — Bipedal locomotion was simulated to generate a pattern of activating muscles for walking using electrical stim-ulation in persons with spinal cord injury (SCI) or stroke. The simulation presented in this study starts from a model of the body determined with user-specific parameters