Name
Title | ||
|---|---|---|
Position independent activity recognition using shallow neural architecture and empirical modeling |
Abstract | ||
|---|---|---|
The goal of the SHL recognition challenge 2019 is to recognize transportation modalities in a sensor placement independent manner. In this paper, the performance of shallow neural networks is benchmarked by Team Orion in such a manner on the dataset provided in the challenge, using 156 handcrafted temporal and spectral features per sensor through the application of parallel processing and out-of-memory architecture. Using scaled conjugate gradient back-propagation (SCGB) algorithm, combining classes 7 and 8 and taking 5000 frames of bag-hips-torso data from validation set, classification accuracy of 87.2% was obtained on the validation dataset of the same labels for a shallow two-layer feed-forward network. 71% accuracy was obtained on the validation set of classes 7 and 8 via transfer of 2500 frames using another shallow neural network of similar architecture. Using empirically observed variable based transfer of 7088 frames from hand validation data to training dataset, 77.5% accuracy was obtained on hand validation data for classes 1 to 7/8, and 70% classification accuracy of classes 7 and 8 via transfer of 1809 frames from hand validation data. The results illustrate how carefully crafted features coupled with empirical transfer of labeled knowledge and combination of problematic classes can tune a neural classifier to work in a new feature space.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3341162.3345572 | Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers |
Keywords | Field | DocType |
feature extraction, knowledge transfer, neural networks | Computer vision,Architecture,Activity recognition,Computer science,Artificial intelligence | Conference |
ISBN | Citations | PageRank |
978-4503-6869-8 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Swapnil Sayan Saha | 1 | 2 | 1.13 |
| Shafizur Rahman | 2 | 2 | 1.13 |
| Zarin Rezwana Ridita Haque | 3 | 0 | 0.34 |
| Tahera Hossain | 4 | 6 | 7.50 |
| Sozo Inoue | 5 | 176 | 58.17 |
| Md. Atiqur Rahman Ahad | 6 | 159 | 20.47 |