35 citations · 127 across the 42 of their papers we have counts for
13 papers · 1 filter
Remaining useful life prediction of Lithium-ion batteries using spatio-temporal multimodal attention networks
Sungho Suh, Dhruv Aditya Mittal, Hymalai Bello +3
Lithium-ion batteries are widely used in various applications, including electric vehicles and renewable energy storage. The prediction of the remaining useful life (RUL) of batter…
A Novel Local-Global Feature Fusion Framework for Body-weight Exercise Recognition with Pressure Mapping Sensors
Davinder Pal Singh, Lala Shakti Swarup Ray, Bo Zhou +2
We present a novel local-global feature fusion framework for body-weight exercise recognition with floor-based dynamic pressure maps. One step further from the existing studies usi…
Two-stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries
Dhruv Mittal, Hymalai Bello, Bo Zhou +3
Early prediction of remaining useful life (RUL) is crucial for effective battery management across various industries, ranging from household appliances to large-scale applications…
Worker Activity Recognition in Manufacturing Line Using Near-body Electric Field
Sungho Suh, Vitor Fortes Rey, Sizhen Bian +5
Manufacturing industries strive to improve production efficiency and product quality by deploying advanced sensing and control systems. Wearable sensors are emerging as a promising…
PressureTransferNet: Human Attribute Guided Dynamic Ground Pressure Profile Transfer using 3D simulated Pressure Maps
Lala Shakti Swarup Ray, Vitor Fortes Rey, Bo Zhou +2
We propose PressureTransferNet, a novel method for Human Activity Recognition (HAR) using ground pressure information. Our approach generates body-specific dynamic ground pressure…
Selecting the motion ground truth for loose-fitting wearables: benchmarking optical MoCap methods
Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh +1
To help smart wearable researchers choose the optimal ground truth methods for motion capturing (MoCap) for all types of loose garments, we present a benchmark, DrapeMoCapBench (DM…
Origami Single-end Capacitive Sensing for Continuous Shape Estimation of Morphing Structures
Lala Shakti Swarup Ray, Daniel Geißler, Bo Zhou +2
In this work, we propose a novel single-end morphing capacitive sensing method for shape tracking, FxC, by combining Folding origami structures and Capacitive sensing to detect the…
A Synthetic Benchmarking Pipeline to Compare Camera Calibration Algorithms
Lala Shakti Swarup Ray, Bo Zhou, Lars Krupp +2
Accurate camera calibration is crucial for various computer vision applications. However, measuring calibration accuracy in the real world is challenging due to the lack of dataset…
CaptAinGlove: Capacitive and Inertial Fusion-Based Glove for Real-Time on Edge Hand Gesture Recognition for Drone Control
Hymalai Bello, Sungho Suh, Daniel Geißler +3
We present CaptAinGlove, a textile-based, low-power (1.15Watts), privacy-conscious, real-time on-the-edge (RTE) glove-based solution with a tiny memory footprint (2MB), designed to…
MeciFace: Mechanomyography and Inertial Fusion-based Glasses for Edge Real-Time Recognition of Facial and Eating Activities
Hymalai Bello, Sungho Suh, Bo Zhou +1
The increasing prevalence of stress-related eating behaviors and their impact on overall health highlights the importance of effective and ubiquitous monitoring systems. In this pa…
FieldHAR: A Fully Integrated End-to-end RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors
Mengxi Liu, Bo Zhou, Zimin Zhao +5
In this work, we propose an open-source scalable end-to-end RTL framework FieldHAR, for complex human activity recognition (HAR) from heterogeneous sensors using artificial neural…
InMyFace: Inertial and Mechanomyography-Based Sensor Fusion for Wearable Facial Activity Recognition
Hymalai Bello, Luis Alfredo Sanchez Marin, Sungho Suh +2
Recognizing facial activity is a well-understood (but non-trivial) computer vision problem. However, reliable solutions require a camera with a good view of the face, which is ofte…
PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation
Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh +1
Ground pressure exerted by the human body is a valuable source of information for human activity recognition (HAR) in unobtrusive pervasive sensing. While data collection from pres…