activity
20182024
most citedColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition

5 citations · 10 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2024★ 1 cited

Enabling Cross-Camera Collaboration for Video Analytics on Distributed Smart Cameras

Chulhong Min, Juheon Yi, Utku Gunay Acer +1

Overlapping cameras offer exciting opportunities to view a scene from different angles, allowing for more advanced, comprehensive and robust analysis. However, existing visual anal…

cs.DC2024★ 2 cited

Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables

Taesik Gong, Si Young Jang, Utku Günay Acer +2

The advent of tiny artificial intelligence (AI) accelerators enables AI to run at the extreme edge, offering reduced latency, lower power cost, and improved privacy. When integrate…

cs.SD2023

Automatic Detection of Reactions to Music via Earable Sensing

Euihyoek Lee, Chulhong Min, Jeaseung Lee +2

We present GrooveMeter, a novel system that automatically detects vocal and motion reactions to music via earable sensing and supports music engagement-aware applications. To this…

cs.LG2022★ 5 cited

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…

cs.LG2021

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…

cs.DC2020★ 2 cited

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…

cs.HC2019

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…

cs.IT2018

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…