AIMC Topic: Biomechanical Phenomena

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Learning behavior aware features across spaces for improved 3D human motion prediction.

Scientific reports
3D skeleton-based human motion prediction is an essential and challenging task for human-machine interactions, aiming to forecast future poses given a history of previous motions. However, most existing works model human motion dependencies exclusive...

Personalized ML-based wearable robot control improves impaired arm function.

Nature communications
Portable wearable robots offer promise for assisting people with upper limb disabilities. However, movement variability between individuals and trade-offs between supportiveness and transparency complicate robot control during real-world tasks. We ad...

Parkinson disease detection based on in-air dynamics feature extraction and selection using machine learning.

Scientific reports
Parkinson's disease (PD) is a progressive neurological disorder that impairs movement control, leading to symptoms such as tremors, stiffness, and bradykinesia. Early and accurate PD detection is essential for effective management and improving patie...

Knee osteoarthritis prediction from gait kinematics: Exploring the potential of deep neural networks and transfer learning methods for time series classification.

Journal of biomechanics
Recent advances in artificial intelligence methods have allowed improved disease diagnosis using fast and low-cost protocols. The present study explored the potential of different deep neural networks (DNNs) and transfer learning methods to detect kn...

The potential of machine learning in classifying relapse and non-relapse in children with clubfoot based on movement patterns.

Scientific reports
The diverse nature and timing of a clubfoot relapse pose challenges for early detection. A relapsed clubfoot typically involves a combination of deformities affecting a child's movement pattern across multiple joint levels, formed by a complex kinema...

Discrepancies between plantar pressure devices: Evaluating cross-system reliability for biomechanics, clinical use and predictive modelling.

Foot (Edinburgh, Scotland)
Plantar pressure measurement systems are widely used to assess foot function and gait, yet discrepancies in sensor design, measurement protocols, and population characteristics can undermine data comparability. This study investigated three platform‑...

[Update 2025: Biomechanics and kinematics after total knee arthroplasty (TKA)].

Orthopadie (Heidelberg, Germany)
BACKGROUND: In order to optimise clinical outcomes after primary total knee arthroplasty (TKA), research has refocused on the knee joint's biomechanical characteristics. Beyond implant design and alignment philosophy, the restoration of natural joint...

A forward-engineered, muscle-driven soft robotic swimmer.

Science advances
The field of biohybrid robotics focuses on using biological actuators to study the emergent properties of tissues and the locomotion of living organisms. On the basis of models of swimming at small size scales, we designed and fabricated a muscle-pow...

An eel-like robot based on a dielectric elastomer.

PloS one
Eels have attracted significant research interest because of their long-distance migration and high-endurance cruising behavior. An underwater eel-like robot design inspired by these creatures has the potential for high efficiency, strong maneuverabi...

Structure, sensing and control of pneumatic upper limb rehabilitation system: Review and prospect.

Computers in biology and medicine
With the development of society, the service level of rehabilitation institutions needs to be improved. Pneumatic drive technology has attracted widespread attention due to its high safety and easy control. As a new type of driving element, pneumatic...