POIDEN
Author:
Affiliation:
1. University of Dhaka
2. Kyushu Institute of Technology
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3341162.3345570
Reference13 articles.
1. A Comparative Approach to Classification of Locomotion and Transportation Modes Using Smartphone Sensor Data
2. Phone position/placement detection using accelerometer: Impact on activity recognition
3. The University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics With Mobile Devices
4. Context-based ensemble method for human energy expenditure estimation
5. Accurate Activity Recognition Using a Mobile Phone Regardless of Device Orientation and Location
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1. Transportation Mode Recognition Based on Low-Rate Acceleration and Location Signals With an Attention-Based Multiple-Instance Learning Network;IEEE Transactions on Intelligent Transportation Systems;2024
2. DiamondNet: A Neural-Network-Based Heterogeneous Sensor Attentive Fusion for Human Activity Recognition;IEEE Transactions on Neural Networks and Learning Systems;2023
3. Exploiting domain transformation and deep learning for hand gesture recognition using a low-cost dataglove;Scientific Reports;2022-12-12
4. Predicting Ankle Moment Trajectory with Adaptive Weighted Ensemble of LSTM Networks;2022 IEEE High Performance Extreme Computing Conference (HPEC);2022-09-19
5. Transition State Matrices Approach for Trajectory Segmentation Based on Transport Mode Change Criteria;Sustainability;2022-02-26
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