On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

Trend · papers per month

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6 results for “accelerometry”

Walking fingerprintingstat.AP

New methods predict walking patterns from accelerometer data.

problem Predicting individuals from walking data.

method Machine learning, inferential methods, multivariate functional regression.

result Prediction accuracy varies from 41% to 98%.

walking accelerometry predictive modeling machine learning functional regression

2023-09-18abs ↗pdf ↗

Accelerometry-Derived Digital Biomarkers for Cardiometabolic Risk: A Population-Representative Tabular Benchmark with Uncertainty Quantificationcs.LG

New benchmark predicts cardiometabolic risk from accelerometer data, with varying accuracy.

problem Lack of accurate tabular benchmarks for cardiometabolic risk from accelerometer data.

method Tabular learning methods (ridge regression, XGBoost, TabPFN v2) applied to NHANES data.

result TabPFN v2 achieves best performance, but triglycerides remain largely unpredictable.

accelerometry cardiometabolic risk benchmark tabular learning NHANES

2026-06-29abs ↗pdf ↗

Animal behavior classification via deep learning on embedded systemscs.LG

Deep learning classifies animal behavior from wearable accelerometers.

problem Classifying animal behavior from accelerometer data.

method End-to-end deep neural network with IIR and FIR filters.

result Outperforms state-of-the-art algorithms in real-time classification.

animal behavior deep learning wearable accelerometry AIoT

2021-11-24abs ↗pdf ↗

Predicting gait events from tibial acceleration in rearfoot running: a structured machine learning approachcs.LG

Gait event detection of the initial contact and toe off is essential for running gait analysis, allowing the derivation of parameters such as stance time. Heuristic-based methods exist to estimate these key gait events from tibial accelerometry. However, these methods are tailored to very specific acceleration profiles…

2019-10-29abs ↗pdf ↗

Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forestsq-bio.QM

ARF synthesizes epidemiological data to match original findings.

problem Synthetic data quality and privacy in epidemiology.

method Adversarial Random Forests (ARF) for efficient data synthesis.

result ARF-generated synthetic data consistently matches original epidemiological findings.

synthetic data epidemiology adversarial random forests data privacy statistical utility

2025-08-19abs ↗pdf ↗

Local Model Feature Transformationscs.LG

Improves local learning models for complex feature extraction.

problem Limited use of simple model families in local learning.

method Uses complex local model families to extract features.

result Demonstrates applications in various fields.

local learning feature extraction Gaussian processes quadric models word embeddings

2020-04-13abs ↗pdf ↗