AIMC Topic: Walking

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A novel approach for joint indoor localization and activity recognition using a hybrid CNN-GRU and MRF framework.

PloS one Aug 7, 2025
This work proposes a new hybrid model for joint indoor localization and activity recognition by combining a Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU) model with a Markov Random Field (MRF) for better classification. The CNN-GRU succ...
Neural Networks, Computer Algorithms Walking Markov Chains Humans
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Enhanced gastrocnemius-mimicking lower limb powered exoskeleton robot.

Journal of neuroengineering and rehabilitation Aug 4, 2025
BACKGROUND: Lower limb muscle bionic devices have attracted significant attention in rehabilitation and assistive sports technology. Despite advancements in mimicking human movement, current devices still face challenges in enhancing strength and mov...
Humans Female Young Adult Adult Biomechanical Phenomena Male Equipment Design Lower Extremity Electromyography Muscle, Skeletal Ankle Joint Walking Robotics Exoskeleton Device
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Classification accuracy of pain intensity induced by leg blood flow restriction during walking using machine learning based on electroencephalography.

Scientific reports Jul 31, 2025
Pain assessment in clinical practice largely relies on patient-reported subjectivity. Although previous studies using fMRI and EEG have attempted objective pain evaluation, their focus has been limited to resting conditions. This study aimed to class...
Female Young Adult Adult Male Humans Machine Learning Algorithms Pain Regional Blood Flow Leg Pain Measurement Electroencephalography Walking
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Intelligent routing for human activity recognition in wireless body area networks.

Scientific reports Jul 29, 2025
Human activity recognition (HAR), driven by machine learning techniques, offer the detection of diverse activities such as walking, running, and more. Considering the dynamic nature, limited energy and mobility of wireless body area networks (WBANs),...
Walking Human Activities Wireless Technology Humans Machine Learning Algorithms
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Exploring the social life of urban spaces through AI.

Proceedings of the National Academy of Sciences of the United States of America Jul 24, 2025
We analyze changes in pedestrian behavior over a 30-y period in four urban public spaces located in New York, Boston, and Philadelphia. Building on William Whyte's observational work, which involved manual video analysis of pedestrian behaviors, we e...
Cities Urban Population Walking Pedestrians Philadelphia Boston Humans Artificial Intelligence
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A novel framework integrating GeoAI and human perceptions to estimate walkability in Wuhan, China.

Scientific reports Jul 14, 2025
Evidence shows enhanced walking environment promotes overall physical activities and further alleviates the risk of chronic diseases and mental disorders. Current walkability research is limited by traditional GIS methods that fail to capture micro-l...
Perception Socioeconomic Factors Environment Design Walking Humans Female Exercise China Cities Geographic Information Systems Deep Learning
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Integrating deep learning in stride-to-stride muscle activity estimation of young and old adults with wearable inertial measurement units.

Scientific reports Jul 9, 2025
Deep learning has become powerful and yet versatile tool that allows for the extraction of complex patterns from rich datasets. One field that can benefits from this advancement is human gait analysis. Conventional gait analysis requires a specialize...
Female Walking Aged Humans Adult Young Adult Gait Deep Learning Male Neural Networks, Computer Gait Analysis Middle Aged Wearable Electronic Devices Muscle, Skeletal
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GPS-based street-view greenspace exposure and wearable assessed physical activity in a prospective cohort of US women.

The international journal of behavioral nutrition and physical activity Jul 6, 2025
BACKGROUND: Increasing evidence positively links greenspace and physical activity (PA). However, most studies use measures of greenspace, such as satellite-based vegetation indices around the residence, which fail to capture ground-level views and da...
Walking Residence Characteristics Humans Neighborhood Characteristics Prospective Studies Environment Design Exercise Female Geographic Information Systems Wearable Electronic Devices Adult United States Middle Aged
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Performance of deep-learning models incorporating knee alignment information for predicting ground reaction force during walking.

Biomedical engineering online Jun 24, 2025
BACKGROUND: Wearable sensors combined with deep-learning models are increasingly being used to predict biomechanical variables. Researchers have focused on either simple neural networks or complex pretrained models with multiple layers. In addition, ...
Humans Knee Adult Neural Networks, Computer Deep Learning Biomechanical Phenomena Female Walking Male Mechanical Phenomena
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Enhanced pedestrian trajectory prediction via overlapping field-of-view domains and integrated Kolmogorov-Arnold networks.

PloS one Jun 9, 2025
Accurate pedestrian trajectory prediction is crucial for applications such as autonomous driving and crowd surveillance. This paper proposes the OV-SKTGCNN model, an enhancement to the Social-STGCNN model, aimed at addressing its low prediction accur...
Models, Theoretical Humans Walking Neural Networks, Computer Pedestrians Algorithms
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