Article detail · 2022
Investigating The Performanca of Wearable Motion Sensors On Recognizing Falls and Daily Activities Via Machine Learning
Journal
Digital Signal ProcessingISSN 1051-2004
The ISSN points to another catalog journal; the name is from the YÖKSİS record.
YÖKSİS
OpenAlex
SJR Q2
JCR Q2
Citations 34
Percentile 86.6%
FWCI 1.86
- Year
- 2022
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Digital Signal Processing
- Catalog match (ISSN) Digital Signal Processing: A Review Journal
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
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Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
34 citations
OpenAlex cited_by_count (cache / database)
8 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- A Novel Heuristic Fall-Detection Algorithm Based on Double Thresholding, Fuzzy Logic, and Wearable Motion Sensor Data 2023
- Comprehensive analysis of feature‐algorithm interactions for fall detection across age groups via machine learning 2024
- Exploring the Performance of PySpark and Scikit-Learn Libraries in Developing Fall Detection Systems 2024
- Investigating the impact of sensor axis combinations on activity recognition and fall detection: an empirical study 2025
- Investigating the impact of sensor axis combinations on activity recognition and fall detection: an empirical study 2025
- Machine Learning Approaches for Fall Detection Using Integrated Data from Multi-Brand Sensors 2024
- Investigating the impact of sensor axis combinations on activity recognition and fall detection: an empirical study 2024
- Achieving High Success in Fall Detection through Cross-Brand Inertial Sensor Utilization of Hybrid Data in Machine Learning 2024