Akane Sano — Measuring sleep using machine learning and wearable sensors/mobile phones

Akane Sano - Multimodal Sensor Machine Learning for Mental HealthПодробнее

Extraction and Interpretation of Deep Autoencoder-based Temporal Features from Wearables...Подробнее

Akane Sano, PhD - Applications of Large Language Models in ECG Diagnosis and Sleep HealthПодробнее

3. Reproducible machine learning of movement behaviours from wearable sensors - Aiden DohertyПодробнее

Akane Sano: Measuring Sleep, Stress and Wellbeing with Wearable Sensors and Mobile Phones - 2017-3-7Подробнее

Akane Sano - Human Sensing & Data Analysis: Modeling for Health, Well-being & PerformanceПодробнее

Allen School Colloquia: Akane Sano (MIT)Подробнее

Machine learning for mobile sensing... - Michael Bell, PhD | ODSC East 2018Подробнее

A new generation of multi-sensor wearable devices in sleep researchПодробнее

FHTI Monitoring of Sleep, Akane Sano with intro by Renata Bushko FHTIПодробнее

[EN] How To Use Baby Mode on Nokia | Withings Smart ScalesПодробнее

Nick Allen: "Is Behavioral Activation the Killer App for Mobile Sensing?"Подробнее

Wearable Computing Technology for Assessment of Cognitive Functioning of Bipolar Patients and ...Подробнее

2019 Rice University ECE Corporate Affiliates Day - Akane SanoПодробнее

Prof. David Kotz - Mobile and wearable technology for computational wellbeingПодробнее