Search Results for author: Thomas Plötz

Found 3 papers, 0 papers with code

Fine-grained Human Activity Recognition Using Virtual On-body Acceleration Data

no code implementations2 Nov 2022 Zikang Leng, Yash Jain, Hyeokhyen Kwon, Thomas Plötz

In this work we first introduce a measure to quantitatively assess the subtlety of human movements that are underlying activities of interest--the motion subtlety index (MSI)--which captures local pixel movements and pose changes in the vicinity of target virtual sensor locations, and correlate it to the eventual activity recognition accuracy.

Human Activity Recognition

Assessing the State of Self-Supervised Human Activity Recognition using Wearables

no code implementations22 Feb 2022 Harish Haresamudram, Irfan Essa, Thomas Plötz

As such, self-supervision, i. e., the paradigm of 'pretrain-then-finetune' has the potential to become a strong alternative to the predominant end-to-end training approaches, let alone hand-crafted features for the classic activity recognition chain.

Domain Adaptation Human Activity Recognition +1

Towards Using Unlabeled Data in a Sparse-coding Framework for Human Activity Recognition

no code implementations25 Dec 2013 Sourav Bhattacharya, Petteri Nurmi, Nils Hammerla, Thomas Plötz

We propose a sparse-coding framework for activity recognition in ubiquitous and mobile computing that alleviates two fundamental problems of current supervised learning approaches.

Human Activity Recognition

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