Activity and Location Recognition Using Wearable Sensors
IEEE Pervasive Computing
Context Awareness by Analyzing Accelerometer Data
ISWC '00 Proceedings of the 4th IEEE International Symposium on Wearable Computers
Wearable sensing to annotate meeting recordings
Personal and Ubiquitous Computing
Next-Generation Personal Memory Aids
BT Technology Journal
Ambient intelligent technologies for wellbeing at home
Proceedings of the 2nd European Union symposium on Ambient intelligence
MyLifeBits: a personal database for everything
Communications of the ACM - Personal information management
Activity recognition from accelerometer data
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
Journal of Visual Languages and Computing
Using mobile phones to determine transportation modes
ACM Transactions on Sensor Networks (TOSN)
An intelligent mobile based decision support system for retinal disease diagnosis
Decision Support Systems
| Hi-index | 0.00 |
In this paper we present a novel system that recognizes and records the motional activities of a person using a mobile phone. Wireless sensors measuring the intensity of motions are attached to body parts of the person. Sensory data is collected by a mobile application that recognizes the prelearnt activities in real-time. For efficient motion pattern recognition of gestures and postures, feed-forward backpropagation neural networks are adopted. The design and implementation of the system are presented along with the records of our experiences. The recognized activity is used as an additional retrieval key in our extensive mobile memory recording and sharing project.