# Counting Activities Using Weakly Labeled Raw Acceleration Data: A Variable-Length Sequence Approach with Deep Learning to Maintain Event Duration Flexibility

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/counting-activities-using-weakly-labeled-raw-acceleration-data-a-variable-length/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Georgios Sopidis,Michael Haslgrübler,Alois Ferscha |
| Citations | 7 |
| DOI | 10.3390/s23115057 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1424-8220/23/11/5057/pdf?version=1684995366 |
| OpenAlex ID | https://openalex.org/W4378227774 |
| PMID | 37299784 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Georgios Sopidis](https://scholariq.org/researchers/georgios-sopidis/)

## Paper journal

- [Sensors](https://scholariq.org/journals/sensors/)

## 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/)
- [Non-Invasive Vital Sign Monitoring](https://scholariq.org/topics/non-invasive-vital-sign-monitoring/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

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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.