Abstract:
This paper introduces a novel method for the estimation of 3D Ground Reaction Forces (GRF) using a minimal sensing setup, aiming to overcome the limitations associated wi...Show MoreMetadata
Abstract:
This paper introduces a novel method for the estimation of 3D Ground Reaction Forces (GRF) using a minimal sensing setup, aiming to overcome the limitations associated with conventional subject-specific approaches. Specifically developed for activities where the Center of Mass (CoM) closely aligns with the pelvis position, such as without bending of the torso segment, the proposed approach includes seven Inertial Measurement Units (IMUs), Pressure Insoles (PIs), and a biomechanical constraint based on the Virtual Pivot Point (VPP) concept. The method's performance was evaluated using data from eight healthy individuals engaged in various movements, including walking, jumping, landing, and lunging. Results demonstrate good accuracy in estimating anteroposterior (AP) and vertical (V) components of GRF. Some limitations were found in the mediolateral (ML) component, especially during jumping and fast walking (FW), highlighting the need for improved filtering techniques to enhance the accuracy of the total GRF estimation. This study serves as a proof of concept, with future work aimed at refining accuracy, minimizing the set of IMUs employed, and exploring applications for Activities of Daily Living (ADL) among patients affected by Osteoarthritis (OA). The proposed approach presents a promising direction in biomechanical research intending to develop a more practical system for clinical settings.
Date of Conference: 26-28 June 2024
Date Added to IEEE Xplore: 29 July 2024
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- IEEE Keywords
- Index Terms
- Ground Reaction Force ,
- Minimal Setup ,
- 3D Ground Reaction Forces ,
- Center Of Mass ,
- Proof Of Concept ,
- Inertial Measurement Unit ,
- Fast Walking ,
- Pelvic Position ,
- Root Mean Square Error ,
- Artificial Neural Network ,
- Reference Frame ,
- Machine Learning Techniques ,
- Equations Of Motion ,
- Center Of Pressure ,
- Walking Speed ,
- Motion Capture ,
- Force Plate ,
- Slow Walking ,
- Extended Kalman Filter ,
- Double Support Phase ,
- Center Of Pressure Position ,
- Changes In Acceleration ,
- Body Kinematics ,
- Newtonian Equations ,
- Normal Walking ,
- Position In Frame
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Ground Reaction Force ,
- Minimal Setup ,
- 3D Ground Reaction Forces ,
- Center Of Mass ,
- Proof Of Concept ,
- Inertial Measurement Unit ,
- Fast Walking ,
- Pelvic Position ,
- Root Mean Square Error ,
- Artificial Neural Network ,
- Reference Frame ,
- Machine Learning Techniques ,
- Equations Of Motion ,
- Center Of Pressure ,
- Walking Speed ,
- Motion Capture ,
- Force Plate ,
- Slow Walking ,
- Extended Kalman Filter ,
- Double Support Phase ,
- Center Of Pressure Position ,
- Changes In Acceleration ,
- Body Kinematics ,
- Newtonian Equations ,
- Normal Walking ,
- Position In Frame
- Author Keywords