articleTop 1% cited
Sensor-based and vision-based human activity recognition: A comprehensive survey
Pattern Recognition · 2020 · Vol. 108 · pp. 107561–107561
L. Minh Dang(Sejong University)Kyungbok Min(Sejong University)Hanxiang Wang(Sejong University)Md. Jalil Piran(Sejong University)Cheol Hee LeeHyeonjoon Moon✉(Sejong University)
Context-Aware Activity Recognition SystemsIoT and Edge/Fog ComputingHuman Pose and Action RecognitionComputer scienceData scienceActivity recognitionContext (archaeology)Artificial intelligenceData collectionStrengths and weaknessesFeature engineeringInternet of ThingsDeep learning
Funding
- Ministry of Education
- Ministry of Science, ICT and Future Planning
- National Research Foundation of Korea
- Institute for Information and Communications Technology Promotion
Citations
675
FWCI
36.31
field-weighted impact
References
302
Percentile
100%
vs. same field & year
Citations per year
References
From action to activity: Sensor-based activity recognition
Neurocomputing · 2015 · 485 citations
ImageNet classification with deep convolutional neural networks
Communications of the ACM · 2017 · 75,550 citations
Transition-Aware Human Activity Recognition Using Smartphones
Neurocomputing · 2015 · 718 citations
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
Sensors · 2016 · 2,567 citations
Efficient kNN classification algorithm for big data
Neurocomputing · 2016 · 609 citations
A Survey on Activity Detection and Classification Using Wearable Sensors
IEEE Sensors Journal · 2016 · 423 citations
UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones
Applied Sciences · 2017 · 473 citations
Real-time human activity recognition from accelerometer data using Convolutional Neural Networks
Applied Soft Computing · 2017 · 798 citations
Related articles
Real-time human activity recognition from accelerometer data using Convolutional Neural Networks
Applied Soft Computing · 2017 · 798 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.