Wearable Sensors for Activity Analysis using SMO-based Random Forest over Smart home and Sports Datasets

Author:

Badar ud din Tahir Sheikh,Jalal Ahmad,Batool Mouazma

Publisher

IEEE

Cited by 53 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MLCNNwav: Multilevel Convolutional Neural Network With Wavelet Transformations for Sensor-Based Human Activity Recognition;IEEE Internet of Things Journal;2024-01-01

2. Scenario Construction of Aging-Appropriate Smart Home based on Information Fusion of Multi-Sensor Devices;2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC);2023-10-11

3. Geometry- and Accuracy-Preserving Random Forest Proximities;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-09-01

4. AI-based personalized Human Activity Recognition in walking and trekking sports: A case study;IEEE Latin America Transactions;2023-08

5. Human activity recognition using deep learning techniques with spider monkey optimization;Multimedia Tools and Applications;2023-05-09

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