An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
Activity and Location Recognition Using Wearable Sensors
IEEE Pervasive Computing
Context-Aware Notification for Wearable Computing
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Spine versus Porcupine: A Study in Distributed Wearable Activity Recognition
ISWC '04 Proceedings of the Eighth International Symposium on Wearable Computers
Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
The classification of human tremor signals using artificial neural network
Expert Systems with Applications: An International Journal
Recognition of dietary activity events using on-body sensors
Artificial Intelligence in Medicine
User Daily Activity Classification from Accelerometry Using Feature Selection and SVM
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Activity recognition from accelerometer data
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
Automatic feature selection for context recognition in mobile devices
Pervasive and Mobile Computing
Feature selection and activity recognition from wearable sensors
UCS'06 Proceedings of the Third international conference on Ubiquitous Computing Systems
IEEE Transactions on Information Technology in Biomedicine
IEEE Transactions on Information Technology in Biomedicine
Throughput efficiency in body sensor networks: A clean-slate approach
Expert Systems with Applications: An International Journal
Elderly activities recognition and classification for applications in assisted living
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
The benefits arising from proactive conduct and subject-specialized healthcare have driven e-health and e-monitoring into the forefront of research, in which the recognition of motion, postures and physical exercise is one of the main subjects. We propose here a multidisciplinary method for the recognition of physical activity with the emphasis on feature extraction and selection processes, which are considered to be the most critical stages in identifying the main unknown activity discriminant elements. Efficient feature selection processes are particularly necessary when dealing with huge training datasets in a multidimensional space, where conventional feature selection procedures based on wrapper methods or 'branch and bound' are highly expensive in computational terms. We propose an alternative filter method using a feature quality group ranking via a couple of two statistical criteria. Satisfactory results are achieved in both laboratory and semi-naturalistic activity living datasets for real problems using several classification models, thus proving that any body sensor location can be suitable to define a simple one-feature-based recognition system, with particularly remarkable accuracy and applicability in the case of the wrist.