- Home
- » Tags
- » Activity recognition
Top View
- Human Activity Recognition Making Use of Long Short-Term Memory
- A New Network-Based Algorithm for Human Activity Recognition in Videos Weiyao Lin, Yuanzhe Chen, Jianxin Wu, Hanli Wang, Bin Sheng, and Hongxiang Li
- Sensor - Based Human Activity Recognition Using Smartphones
- Latent Hierarchical Model for Activity Recognition Ninghang Hu, Gwenn Englebienne, Zhongyu Lou, and Ben Krose¨
- DT-3Dresnet-LSTM: an Architecture for Temporal Activity Recognition in Videos
- Human Activity Recognition and Pattern Discovery Activity Recognition
- Motion Primitive-Based Human Activity Recognition Using a Bag-Of-Features Approach
- Conditional Random Fields for Activity Recognition
- Human Activity Recognition Based on Wearable Flex Sensor and Pulse Sensor
- Unsupervised Activity Recognition Using Automatically Mined Common Sense
- Human Activity Recognition Using Inertial Sensors in a Smartphone: an Overview
- The Benefits of Personalized Data Mining Approaches to Human
- Activity Recognition with Combination of Deeply Learned Visual Attention and Pose Estimation
- Joint Activity Recognition and Indoor Localization with Wifi Fingerprints
- Trajectory-Based Human Activity Recognition Using Hidden Conditional Random Fields
- An Efficient Human Activity Recognition Technique Based on Deep Learning Aziz Khelalef, Fakhreddine Ababsa, Nabil Benoudjit
- A Data Mining Framework for Activity Recognition in Smart Environments
- Activity Recognition from Accelerometer Data
- A Survey on Wi-Fi Based Contactless Activity Recognition
- Device-Free Human Activity Recognition Using Commercial Wifi Devices Wei Wang Alex X
- Human Activity Recognition: a Comparison of Machine Learning Approaches
- Conditional Random Fields for Activity Recognition Douglas L
- A Simple Data Processing Method to Enhance Human Activity Recognition Accuracy Based on Wifi
- A Scalable Approach to Activity Recognition Based on Object Use
- Activity Recognition in the Home Using Simple and Ubiquitous Sensors
- Zero-Shot Human Activity Recognition Using Non-Visual Sensors
- An Efficient and Lightweight Deep Learning Model for Human Activity
- Human Activity Discovery and Recognition Using Probabilistic Finite-State Automata K Viard, M
- A Long-Term Evaluation of Sensing Modalities for Activity Recognition
- Human Worker Activity Recognition in Industrial Environments Bastian Hartmann Human Worker ISBN 978-3-86644-643-4 9 783866 446434
- Limitations with Activity Recognition Methodology & Data Sets
- Convolutional Neural Networks for Human Activity Recognition Using Body-Worn Sensors
- Improving Video Activity Recognition Using Object Recognition and Text Mining
- Advancing Android Activity Recognition Service with Markov Smoother: Practical Solutions Mingyang Zhong University of Queensland
- Recent Trends in Machine Learning for Human Activity Recognition - a Survey
- Human Activity Recognition Using Inertial, Physiological And
- Deep Learning Human Activity Recognition
- Human Activity Recognition with Deep Learning: Overview, Challenges & Possibilities Pranjal*, Docse, NIT Hamirpur; Siddhartha Chauhan, Docse, NIT Hamirpur
- Feature Engineering for Human Activity Recognition
- Semi-Markov Conditional Random Fields for Accelerometer-Based
- Machine Learning Algorithms for Human Activity Recognition
- Process Progress Estimation and Activity Recognition
- Different Approaches for Human Activity Recognition– a Survey Zawar Hussain, Michael Sheng, Senior Member, IEEE, Wei Emma Zhang, Member, IEEE
- Manifold Learning and Recognition of Human Activity Using Body-Area Sensors
- Layer-Wise Training Convolutional Neural Networks with Smaller
- Constraint-Based Activity Recognition with Uncertainty
- A Comprehensive Study of Activity Recognition Using Accelerometers
- Human Activity Recognition Making Use of Long Short-Term Memory Techniques
- Human Activity Recognition Using Deep Learning Approaches