5 citations · 7 across the 3 of their papers we have counts for
5 papers
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition
Yash Jain, Chi Ian Tang, Chulhong Min +2
A major bottleneck in training robust Human-Activity Recognition models (HAR) is the need for large-scale labeled sensor datasets. Because labeling large amounts of sensor data is…
SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices
Chulhong Min, Akhil Mathur, Utku Gunay Acer +2
We present SensiX++ - a multi-tenant runtime for adaptive model execution with integrated MLOps on edge devices, e.g., a camera, a microphone, or IoT sensors. SensiX++ operates on…
SensiX: A Platform for Collaborative Machine Learning on the Edge
Chulhong Min, Akhil Mathur, Alessandro Montanari +2
The emergence of multiple sensory devices on or near a human body is uncovering new dynamics of extreme edge computing. In this, a powerful and resource-rich edge device such as a…
Tiger:Wearable Glasses for the 20-20-20 Rule to Alleviate Computer Vision Syndrome
Chulhong Min, Euihyeok Lee, Souneil Park +1
We propose Tiger, an eyewear system for helping users follow the 20-20-20 rule to alleviate the Computer Vision Syndrome symptoms. It monitors user's screen viewing activities and…
On Tracking the Physicality of Wi-Fi: A Subspace Approach
Mohammed Alloulah, Anton Isopoussu, Chulhong Min +1
Wi-Fi channel state information (CSI) has emerged as a plausible modality for sensing different human activities as a function of modulations in the wireless signal that travels be…