no code implementations • 24 Oct 2022 • Camellia Zakaria, Gizem Yilmaz, Priyanka Mammen, Michael Chee, Prashant Shenoy, Rajesh Balan
In this paper, we propose SleepMore, an accurate and easy-to-deploy sleep-tracking approach based on machine learning over the user's WiFi network activity.
1 code implementation • 22 Feb 2022 • Bhawana Chhaglani, Camellia Zakaria, Adam Lechowicz, Prashant Shenoy, Jeremy Gummeson
With a motivation to monitor airflow from building ventilation systems through commodity sensing devices, we present FlowSense, a machine learning-based algorithm to predict airflow rate from sensed audio data in indoor spaces.
no code implementations • 7 Feb 2021 • Priyanka Mary Mammen, Camellia Zakaria, Tergel Molom-Ochir, Amee Trivedi, Prashant Shenoy, Rajesh Balan
With a motivation to expand sleep monitoring capabilities at a large scale and contribute sleep data to public health understanding, we present Wisleep, a system for inferring sleep duration using smartphone network connections that are passively sensed from WiFi infrastructure.
1 code implementation • 25 May 2020 • Amee Trivedi, Camellia Zakaria, Rajesh Balan, Prashant Shenoy
Contact tracing is a well-established and effective approach for the containment of the spread of infectious diseases.
Networking and Internet Architecture Computers and Society