My Account | Careers | Downloads | Blog

PROJECT TITLE :

Spatial Map of Synthesized Criteria for the Redundancy Resolution of Human Arm Movements

ABSTRACT:

The kinematic redundancy of the human arm permits the elbow position to rotate regarding the axis browsing the shoulder and wrist, that leads to infinite possible arm postures when the arm reaches to a target during a 3-D workspace. To infer the control strategy the human motor system uses to resolve redundancy in reaching movements, this paper compares 5 redundancy resolution criteria and evaluates their arm posture prediction performance using knowledge on healthy human motion. 2 synthesized criteria are developed to supply higher real-time arm posture prediction than the five individual criteria. Of these two, the criterion synthesized using an exponential technique predicts the arm posture a lot of accurately than that employing a least squares approach, and therefore is preferable for inferring the contributions of the individual criteria to motor management throughout reaching movements. As a methodology contribution, this paper proposes a framework to match and evaluate redundancy resolution criteria for arm motion control. A cluster analysis which associates criterion contributions with regions of the workspace provides a suggestion for coming up with a real-time motion Control System applicable to higher-limb exoskeletons for stroke rehabilitation.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Modeling Spatial Trajectories with Attribute Representation Learning ABSTRACT: The widespread use of positioning devices has resulted in the generation of a large number of trajectories, each of which possesses
PROJECT TITLE : Exploring Spatial Significance via Hybrid Pyramidal Graph Network for Vehicle Re-Identification ABSTRACT: Spatial pooling operations are commonly used in existing methods for vehicle re-identification. These operations
PROJECT TITLE : Realization of Spatial Sparseness by Deep ReLU Nets With Massive Data ABSTRACT: The tremendous success of deep learning presents significant challenges that must be addressed immediately if we are to understand
PROJECT TITLE : A Novel Dynamic Model Capturing Spatial and Temporal Patterns for Facial Expression Analysis ABSTRACT: Incorporating spatial and temporal patterns present in facial behavior should substantially improve facial
PROJECT TITLE : Adaptive Pulse Wave Imaging Automated Spatial Vessel Wall Inhomogeneity Detection in Phantoms and in-Vivo ABSTRACT: Imaging the mechanical characteristics of the artery wall may aid in the diagnosis of vascular

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry