activity
20132026
most citedAugmenting the thermal flux experiment: a mixed reality approach with the HoloLens

58 citations · 89 across the 53 of their papers we have counts for

collaborators
Showing 2024Show all

11 papers · 1 filter

cs.CV2024

OV-HHIR: Open Vocabulary Human Interaction Recognition Using Cross-modal Integration of Large Language Models

Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh +1

Understanding human-to-human interactions, especially in contexts like public security surveillance, is critical for monitoring and maintaining safety. Traditional activity recogni…

cs.HC2024

LLMs Enable Context-Aware Augmented Reality in Surgical Navigation

Hamraz Javaheri, Omid Ghamarnejad, Paul Lukowicz +2

Wearable Augmented Reality (AR) technologies are gaining recognition for their potential to transform surgical navigation systems. As these technologies evolve, selecting the right…

cs.LG2024

Beyond Confusion: A Fine-grained Dialectical Examination of Human Activity Recognition Benchmark Datasets

Daniel Geissler, Dominique Nshimyimana, Vitor Fortes Rey +3

The research of machine learning (ML) algorithms for human activity recognition (HAR) has made significant progress with publicly available datasets. However, most research priorit…

cs.LG2024

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization

Daniel Geissler, Bo Zhou, Sungho Suh +1

A fundamental step in the development of machine learning models commonly involves the tuning of hyperparameters, often leading to multiple model training runs to work out the best…

cs.LG20242 cited

Enhancing Interpretability Through Loss-Defined Classification Objective in Structured Latent Spaces

Daniel Geissler, Bo Zhou, Mengxi Liu +1

Supervised machine learning often operates on the data-driven paradigm, wherein internal model parameters are autonomously optimized to converge predicted outputs with the ground t…

cs.HC2024

Strategies and Challenges of Efficient White-Box Training for Human Activity Recognition

Daniel Geissler, Bo Zhou, Paul Lukowicz

Human Activity Recognition using time-series data from wearable sensors poses unique challenges due to complex temporal dependencies, sensor noise, placement variability, and diver…