3 citations · 4 across the 3 of their papers we have counts for
3 papers
Multi-Channel Time-Series Person and Soft-Biometric Identification
Nilah Ravi Nair, Fernando Moya Rueda, Christopher Reining +1
Multi-channel time-series datasets are popular in the context of human activity recognition (HAR). On-body device (OBD) recordings of human movements are often preferred for HAR ap…
Semi-Automated Computer Vision based Tracking of Multiple Industrial Entities -- A Framework and Dataset Creation Approach
Jérôme Rutinowski, Hazem Youssef, Sven Franke +4
This contribution presents the TOMIE framework (Tracking Of Multiple Industrial Entities), a framework for the continuous tracking of industrial entities (e.g., pallets, crates, ba…
Dataset Bias in Human Activity Recognition
Nilah Ravi Nair, Lena Schmid, Fernando Moya Rueda +3
When creating multi-channel time-series datasets for Human Activity Recognition (HAR), researchers are faced with the issue of subject selection criteria. It is unknown what physic…