AIMC Topic: Posture

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The assistance of BAZAR robot promotes improved upper limb motor coordination in workers performing an actual use-case manual material handling.

Ergonomics
This study aims at evaluating upper limb muscle coordination and activation in workers performing an actual use-case manual material handling (MMH). The study relies on the comparison of the workers' muscular activity while they perform the task, wit...

BERT for Activity Recognition Using Sequences of Skeleton Features and Data Augmentation with GAN.

Sensors (Basel, Switzerland)
Recently, the scientific community has placed great emphasis on the recognition of human activity, especially in the area of health and care for the elderly. There are already practical applications of activity recognition and unusual conditions that...

A hybrid neural network-based intelligent body posture estimation system in sports scenes.

Mathematical biosciences and engineering : MBE
Body posture estimation has been a hot branch in the field of computer vision. This work focuses on one of its typical applications: recognition of various body postures in sports scenes. Existing technical methods were mostly established on the basi...

Identity-Preserved Human Posture Detection in Infrared Thermal Images: A Benchmark.

Sensors (Basel, Switzerland)
Human pose estimation has a variety of real-life applications, including human action recognition, AI-powered personal trainers, robotics, motion capture and augmented reality, gaming, and video surveillance. However, most current human pose estimati...

Compact Wideband Double-Slot Microstrip Feed Engraved TEM Horn Strip Antennas on a Multilayer Substrate Board for in Bed Resting Body Positions Determination Based on Artificial Intelligence.

Sensors (Basel, Switzerland)
In this paper, a horn-shaped strip antenna exponentially tapered carved on a multilayer dielectric substrate for an indoor body position tracking system is proposed. The performance of the proposed antenna was verified by testing it as a tracking sta...

Ensemble of RNN Classifiers for Activity Detection Using a Smartphone and Supporting Nodes.

Sensors (Basel, Switzerland)
Nowadays, sensor-equipped mobile devices allow us to detect basic daily activities accurately. However, the accuracy of the existing activity recognition methods decreases rapidly if the set of activities is extended and includes training routines, s...

Anthropomorphic Reaching Movement Generating Method for Human-Like Upper Limb Robot.

IEEE transactions on cybernetics
How to generate anthropomorphic reaching movement remains a challenging problem in service robots and human motor function repair/reconstruction equipment. However, there is no universally accepted computational model in the literature for reproducin...

Patient-Specific Exercises with the Development of an End-Effector Type Upper Limb Rehabilitation Robot.

Journal of healthcare engineering
End-effector type upper limb rehabilitation robots (ULRRs) are connected to patients at one distal point, making them have simple structures and less complex control algorithms, and they can avoid abnormal motion and posture of the target anatomical ...

An Approach for Fall Prediction Based on Kinematics of Body Key Points Using LSTM.

International journal of environmental research and public health
Many studies have used sensors attached to adults in order to collect signals by which one can carry out analyses to predict falls. In addition, there are research studies in which videos and photographs were used to extract and analyze body posture ...