A dynamic approach to recognize activities in WSN

Muhammad Arshad Awan, Zheng Guangbin, Shin Dug Kim

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


The essence of context awareness has changed the revolution of ubiquitous computing, and the wireless sensor network technologies paved the way towards many applications. Activity recognition is a key component in identifying the context of a user for providing services based on the application. In this study, we propose a context management model that is based on activity recognition. The model is composed of four components: a set of sensors, a set of activities, a backend server with machine learning algorithms, and a GUI application for the interaction with the user. A prototype is developed to show the usability of the proposed model. As a pilot testing, only accelerometer data of an Android phone is used to identify the activities of daily living (ADLs): sitting, standing, walking, and jogging. A good accuracy of results that is about 96% on average is achieved in all activities.

Original languageEnglish
Article number385276
JournalInternational Journal of Distributed Sensor Networks
Publication statusPublished - 2013

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Networks and Communications


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