KENTECH Intelligent Mobile Computiong lab (IMC Lab) Members Projects Publications Lecture Contact Gallery Press Releases
Ongoing Done Intelligent Data Collection Platforms 1. EasyTrack: A Scalable and General Purpose Platform for Reliable Data Collection in mHealth StudiesEasyTrack is a meticulously crafted software solution that addresses the increasing demand for large-scale longitudinal data collection in mHealth applications. It serves the needs of the academic and medical communities by offering a versatile platform capable of accommodating diverse participant populations and their associated sensor data. EasyTrack stands out for its general-p... More Energy and Data Science In the nexus of energy and data science, energy behavior emerges as a cornerstone for shaping sustainable futures. Energy behavior can be defined as the entirety of human actions that influence how energy is harnessed and consumed, encompassing everything from our choice of energy-efficient technologies to our daily consumption habits and the cognitive processes that drive these decisions. Data science plays a pivotal role in understanding these behaviors by extracting intricate patterns from an... More Digital Healthcare 1. Stress Detection in the WildStress is known to stimulate physiological responses such as heart activity changes and sweat, and such events can be detected using wearables such as smartwatches and chest sensors. Moreover, smartphones give access to rich situational contexts and allow stress detection research to move towards uncontrolled environments. Our methods incorporate collection of situational contexts and physiological sensing to accurately predict daily life stress, which is furt... More Multimodal Learning 1. Effortless Spy Camera DetectionCSI:DeSpy is an innovative solution detects hidden spy cameras in indoor environments. Our approach utilizes cutting-edge technology to provide a discreet and effective means of protecting personal privacy. The increasing prevalence of spy cameras in private rental spaces has raised serious privacy concerns. Existing detection methods often require users to carry additional hardware or perform cumbersome actions, making them impractical and uncom... More Networking 1. Cyberspace-Electronic Warfare SimulationsThis study focuses on maximizing jamming performance through the utilization of state-of-the-art machine learning techniques instead of traditional jamming methods. The transmitter predicts channel conditions through spectrum sensing, while the jammer employs adversarial machine learning to mimic the transmitter's model. Due to the inherent difficulty in obtaining data in the field, data augmentation is frequently employed as a means of addressing this... More 1 1/1