activity
20232026
most citedInMyFace: Inertial and Mechanomyography-Based Sensor Fusion for Wearable Facial Activity Recognition

35 citations · 47 across the 12 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.LG2023

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…

cs.LG2023

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…

cs.LG2023

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…

cs.CV2023★ 1 cited

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…

cs.LG2023★ 35 cited

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…