IMUCoCo maps IMU signals from any body-surface location into a coordinate-based feature space so that wearable sensors can be placed flexibly while still supporting pose estimation and activity recognition.
Clustering of Primordial Black Holes in Excursion Set Theory
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abstract
We investigate the clustering of Primordial Black Holes (PBHs) within the framework of Excursion Set Theory (EST). The EST formalism is extended to compute the joint probability of forming PBH pairs within a clustering distance, based on two stochastic trajectories with a shared history. Our results show that an enhanced power spectrum not only increases the formation of PBHs in specific mass ranges but also enhances their clustering probability. We find a one-to-one correspondence between the blue-tilted spectral index and the mass ranges in which PBHs form and cluster. Additionally, we demonstrate that the clustering probability decreases asymptotically with increasing clustering distance, while a higher critical density threshold (barrier) leads to a suppression of clustering abundance.
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cs.HC 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
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IMUCoCo: Enabling Flexible On-Body IMU Placement for Human Pose Estimation and Activity Recognition
IMUCoCo maps IMU signals from any body-surface location into a coordinate-based feature space so that wearable sensors can be placed flexibly while still supporting pose estimation and activity recognition.