Makale detayı · 2013 · conference-paper
ARAS Human Activity Datasets in Multiple Homes with Multiple Residents
Dergi
Proceedings of the ICTs for improving Patients Rehabilitation Research Techniques
OpenAlex
Açık erişim · green
Üst %10
Yıl2013
Atıf145OpenAlex
Atıf200Semantic Scholar · 29 etkili
Yüzdelik%93,1
FWCI2,71,00 = dünya ortalaması
Veri kaynağı ayrımı
- YÖKSİS dergi adıProceedings of the ICTs for improving Patients Rehabilitation Research Techniques
- OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
- Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)
Özet
The real world human activity datasets are of great importance in development of novel machine learning methods for automatic recognition of human activities in smart environments. In this study, we present the details of ARAS (Activity Recogni- tion with Ambient Sensing) human activity recognit
Konular
Atıflar
OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.
145atıfOpenAlex · cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 7 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
- 2014 Multimodal Wireless Sensor Network-Based Ambient Assisted Living in Real Homes with Multiple ResidentsAtıf 63 · OpenAlex
- 2014 Multimodal Wireless Sensor Network Based Ambient Assisted Living in Real Homes with Multiple ResidentsAtıf 63 · OpenAlex
- 2017 Multi-resident activity tracking and recognition in smart environmentsAtıf 50 · OpenAlex
- 2015 Daily life behaviour monitoring for health assessment using machine learning: bridging the gap between domainsAtıf 29 · OpenAlex
- 2015 Daily life behaviour monitoring for health assessment using machine learning bridging the gap between domainsAtıf 29 · OpenAlex
- 2017 Active learning with uncertainty sampling for large scale activity recognition in smart homesAtıf 26 · OpenAlex
- 2014 A Unified Model for Human Behavior Modeling Using a Hierarchy with a Variable Number of StatesAtıf 9 · OpenAlex
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