Deep learning in human activity recognition with wearable sensors: A review on advances

S Zhang, Y Li, S Zhang, F Shahabi, S Xia, Y Deng… - Sensors, 2022 - mdpi.com
Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …

Recent Development of Drone Technology Software Engineering: A Systematic Survey

HD Thai, CW Yoon, JH Huh - IEEE Access, 2024 - ieeexplore.ieee.org
The drone technology field has received attention and witnessed numerous impressive
advancements that heralded substantial changes and opened new possibilities in different …

Conversational ai therapist for daily function screening in home environments

J Nie, H Shao, M Zhao, S Xia, M Preindl… - Proceedings of the 1st …, 2022 - dl.acm.org
The growth of smart devices is making typical homes more intelligent. In this work, in
collaboration with therapists, we introduce a home-based AI therapist that takes advantage …

RASP: A Drone-based Reconfigurable Actuation and Sensing Platform Towards Ambient Intelligent Systems

M Zhao, J Xia, K Hou, Y Liu, S Xia, X Jiang - arXiv preprint arXiv …, 2024 - arxiv.org
Realizing consumer-grade drones that are as useful as robot vacuums throughout our
homes or personal smartphones in our daily lives requires drones to sense, actuate, and …

Hierarchically organized computer vision in support of multi-faceted search for missing persons

AMR Bernal, J Cleland-Huang - 2023 IEEE 17th International …, 2023 - ieeexplore.ieee.org
Missing person searches are typically initiated with a description of a person that includes
their age, race, clothing, and gender, possibly supported by a photo. Unmanned Aerial …

Design and Evaluation of an AR Voice-based Indoor UAV Assistant for Smart Home Scenarios

R Helmert, T Hardes, E Yigitbas - … of the 2023 ACM Symposium on …, 2023 - dl.acm.org
As technology advances, Unmanned Aerial Vehicles (UAVs) have emerged as an
innovative solution to a variety of problems in many fields. Automated control of UAVs is …

RECA: A Multi-Task Deep Reinforcement Learning-Based Recommender System for Co-Optimizing Energy, Comfort and Air Quality in Commercial Buildings

S Xia, P Wei, Y Liu, A Sonta, X Jiang - Proceedings of the 10th ACM …, 2023 - dl.acm.org
We present the design and implementation of RECA, a novel human-centric recommender
system for co-optimizing energy consumption, comfort and air quality in commercial …

Ava: An adaptive audio filtering architecture for enhancing mobile, embedded, and cyber-physical systems

S Xia, X Jiang - 2022 21st ACM/IEEE International Conference …, 2022 - ieeexplore.ieee.org
Audio is valuable in many mobile, embedded, and cyber-physical systems. We propose
AvA, an acoustic adaptive filtering architecture, configurable to a wide range of applications …

A low-cost in-situ system for continuous multi-person fever screening

K Hou, Y Liu, P Wei, C Yang, H Kang… - 2022 21st ACM/IEEE …, 2022 - ieeexplore.ieee.org
With the recent societal impact of COVID-19, companies and government agencies alike
have turned to thermal camera based skin temperature sensing technology to help screen …

A modular and reconfigurable sensing and actuation platform for smarter environments and drones: demo abstract

M Zhao, Y Liu, A Dhupar, K Hou, S Xia… - Proceedings of the 20th …, 2022 - dl.acm.org
There has been an immense growth in sensors, actuators, and smart devices in recent
years, which enable us to better sense, actuate, and understand the physical world. Despite …