# Feasibility analysis of unsupervised industrial activity recognition based on a frequent micro action

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/feasibility-analysis-of-unsupervised-industrial-activity-recognition-based-on-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Behrooz Azadi,Michael Haslgrübler,Georgios Sopidis,Michaela Murauer,Bernhard Anzengruber,Alois Ferscha |
| Citations | 11 |
| DOI | 10.1145/3316782.3322749 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2945376267 |
| Type | conference-paper |
| Year | 2019 |

## Paper authors

- [Behrooz Azadi](https://scholariq.org/researchers/behrooz-azadi/)
- [Michael Haslgrübler](https://scholariq.org/researchers/michael-haslgrubler/)
- [Georgios Sopidis](https://scholariq.org/researchers/georgios-sopidis/)

## Paper primary topic

- [Context-Aware Activity Recognition Systems](https://scholariq.org/topics/context-aware-activity-recognition-systems/)

## Paper topics

- [Context-Aware Activity Recognition Systems](https://scholariq.org/topics/context-aware-activity-recognition-systems/)
- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)
- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.