Nowadays, many smart watches record and measure many parameters other than heart rate, such as cadence, vertical ratio, vertical oscillation, and many more. Runners can gain much better insight into their techniques and training progress by using these measurements.

Barak Gahtan

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publications

Robusta

Using Deep Reinforcement Learning for mmWave Real-Time Scheduling

Data-Driven Cellular Network Selector for Vehicle Teleoperations

Estimating the Number of HTTP/3 Responses in QUIC Using Deep Learning

WearableMil: An End-to-End Framework for Military Activity Recognition and Performance Monitoring

Beyond the Alphabet: Deep Signal Embedding for Enhanced DNA Clustering

Exploring QUIC Dynamics: A Large-Scale Dataset for Encrypted Traffic Analysis

External Validation of the HOSPITAL Score for 30-Day Readmission

From Lab to Wrist: Bridging Metabolic Monitoring and Consumer Wearables for Heart Rate and Oxygen Consumption Modeling

talks

Understanding running dynamics parameters

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