AIMC Topic: Posture
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Merging motoneuron and postural synergies in prosthetic hand design for natural bionic interfacing.
Science robotics
Jan 15, 2025
Despite the advances in bionic reconstruction of missing limbs, the control of robotic limbs is still limited and, in most cases, not felt to be as natural by users. In this study, we introduce a control approach that combines robotic design based on...
Sleep Posture Detection via Embedded Machine Learning on a Reduced Set of Pressure Sensors.
Sensors (Basel, Switzerland)
Jan 14, 2025
Sleep posture is a key factor in assessing sleep quality, especially for individuals with Obstructive Sleep Apnea (OSA), where the sleeping position directly affects breathing patterns: the side position alleviates symptoms, while the supine position...
Cerebral compliance assessment from intracranial pressure waveform analysis: Is a positional shift-related increase in intracranial pressure predictable?
PloS one
Dec 30, 2024
Real-time monitoring of intracranial pressure (ICP) is a routine part of neurocritical care in the management of brain injury. While mainly used to detect episodes of intracranial hypertension, the ICP signal is also indicative of the volume-pressure...
Effect of wearable robot Bot Fit's hip joint-centered assist torque and voice coach on walking.
BMC musculoskeletal disorders
Dec 23, 2024
BACKGROUND: The main key to the 4th industrial era is robots, and wearable robots are incorporated into human healthcare. Samsung Electronics' Bot Fit is a hip joint-centered assistive robot that can induce walking posture and energetic walking exerc...
MambaPose: A Human Pose Estimation Based on Gated Feedforward Network and Mamba.
Sensors (Basel, Switzerland)
Dec 20, 2024
Human pose estimation is an important research direction in the field of computer vision, which aims to accurately identify the position and posture of keypoints of the human body through images or videos. However, multi-person pose estimation yields...
Classification algorithms trained on simple (symmetric) lifting data perform poorly in predicting hand loads during complex (free-dynamic) lifting tasks.
Applied ergonomics
Dec 10, 2024
The performance of machine learning (ML) algorithms is dependent on which dataset it has been trained on. While ML algorithms are increasingly used for lift risk assessment, many algorithms are often trained and tested on controlled simulation datase...
Identifying Infant Body Position from Inertial Sensors with Machine Learning: Which Parameters Matter?
Sensors (Basel, Switzerland)
Dec 6, 2024
The efficient classification of body position is crucial for monitoring infants' motor development. It may fast-track the early detection of developmental issues related not only to the acquisition of motor milestones but also to postural stability a...
Real-Time Postural Disturbance Detection Through Sensor Fusion of EEG and Motion Data Using Machine Learning.
Sensors (Basel, Switzerland)
Dec 5, 2024
Millions of people around the globe are impacted by falls annually, making it a significant public health concern. Falls are particularly challenging to detect in real time, as they often occur suddenly and with little warning, highlighting the need ...
Exploiting the features of deep residual network with SVM classifier for human posture recognition.
PloS one
Dec 5, 2024
Over the last decade, there have been a lot of advances in the area of human posture recognition. Among multiple approaches proposed to solve this problem, those based on deep learning have shown promising results. Taking another step in this directi...
Multi-Biometric Feature Extraction from Multiple Pose Estimation Algorithms for Cross-View Gait Recognition.
Sensors (Basel, Switzerland)
Nov 30, 2024
Gait recognition is a behavioral biometric technique that identifies individuals based on their unique walking patterns, enabling long-distance identification. Traditional gait recognition methods rely on appearance-based approaches that utilize back...
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