IMUs
PulseAugur coverage of IMUs — every cluster mentioning IMUs across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New RevalExo benchmark targets assistive device locomotion recognition
Researchers have introduced RevalExo, a new benchmark dataset designed to improve locomotion mode recognition for assistive devices. This dataset focuses on older adults and clinical populations, capturing real-world da…
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New VI3 Framework Anchors 3D Foundation Models with Inertial Cues
Researchers have developed VI3, a novel framework designed to improve the metric scale accuracy of pretrained 3D foundation models (3DFMs). By integrating inertial measurement unit (IMU) data, VI3 anchors these models t…
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Egocentric Vision Aids Parkinson's Freezing of Gait Detection
Researchers have developed a method for detecting Freezing of Gait (FOG) in Parkinson's disease patients using egocentric vision and wearable sensors. The study, which involved 13 participants in their homes, found that…
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Deep learning estimates Parkinson's gait forces with minimal IMUs
Researchers have developed a novel deep learning framework to estimate ground reaction forces (GRFs) in individuals with Parkinson's disease (PD) using a minimal set of wearable inertial measurement units (IMUs). This a…
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New IMU-HOI framework enhances human-object motion capture
Researchers have developed IMU-HOI, a new framework designed to capture human motion and object interactions more coherently. This system utilizes inertial measurement units (IMUs) placed on both the body and objects to…
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Gated Fusion Leads Multi-modal Activity Recognition on HARMES Dataset
Researchers have conducted a comparative study of seven sensor fusion techniques for multi-modal human activity recognition using the HARMES dataset. The study found that Gated Multi-modal Fusion achieved the highest pe…
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New algorithm detects human activity changes for ultra-low-power wearables
Researchers have developed a new algorithm for on-sensor human activity recognition that significantly reduces energy consumption in wearable devices. This non-parametric change-detection gate uses dynamic template matc…