activity
20182023
most citedImproving Deep Learning for HAR with shallow LSTMs

66 citations · 142 across the 12 of their papers we have counts for

collaborators

14 papers

cs.CL2023★ 1 cited

Do predictability factors towards signing avatars hold across cultures?

Abdelhadi Soudi, Manal El Hakkaoui, Kristof Van Laerhoven

Avatar technology can offer accessibility possibilities and improve the Deaf-and-Hard of Hearing sign language users access to communication, education and services, such as the he…

cs.LG2023★ 43 cited

Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition using Wrist-Worn Inertial Sensors

Alexander Hoelzemann, Julia Lee Romero, Marius Bock +2

We present a benchmark dataset for evaluating physical human activity recognition methods from wrist-worn sensors, for the specific setting of basketball training, drills, and game…

cs.HC2023★ 9 cited

A Matter of Annotation: An Empirical Study on In Situ and Self-Recall Activity Annotations from Wearable Sensors

Alexander Hoelzemann, Kristof Van Laerhoven

Research into the detection of human activities from wearable sensors is a highly active field, benefiting numerous applications, from ambulatory monitoring of healthcare patients…

cs.CV2023★ 6 cited

WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition

Marius Bock, Hilde Kuehne, Kristof Van Laerhoven +1

Research has shown the complementarity of camera- and inertial-based data for modeling human activities, yet datasets with both egocentric video and inertial-based sensor data rema…

cs.CV2023

An Embedded and Real-Time Pupil Detection Pipeline

Ankur Raj, Diwas Bhattarai, Kristof Van Laerhoven

Wearable pupil detection systems often separate the analysis of the captured wearer's eye images for wirelessly-tethered back-end systems. We argue in this paper that investigating…

q-bio.OT2022★ 4 cited

Using Multivariate Linear Regression for Biochemical Oxygen Demand Prediction in Waste Water

Isaiah K. Mutai, Kristof Van Laerhoven, Nancy W. Karuri +1

There exist opportunities for Multivariate Linear Regression (MLR) in the prediction of Biochemical Oxygen Demand (BOD) in waste water, using the diverse water quality parameters a…