Literature DB >> 22255614

Introducing a modular activity monitoring system.

Attila Reiss1, Didier Stricker.   

Abstract

In this paper, the idea of a modular activity monitoring system is introduced. By using different combinations of the system's three modules, different functionality becomes available: 1) a coarse intensity estimation of physical activities 2) different features based on HR-data and 3) the recognition of basic activities and postures. 3D-accelerometers--placed on lower arm, chest and foot--and a heart rate monitor were used as sensors. A dataset with 8 subjects and 14 different activities was recorded to evaluate the performance of the system. The overall performance on the intensity estimation task, relying on the chest-worn accelerometer and the HR-monitor, was 94.37%. The overall performance on the activity recognition task, using all three accelerometer placements and the HR-monitor, was 90.65%. This paper also gives an analysis of the importance of different accelerometer placements and the importance of a HR-monitor for both tasks.

Mesh:

Year:  2011        PMID: 22255614     DOI: 10.1109/IEMBS.2011.6091360

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  1 in total

1.  Wearable Sensor-Based Human Activity Recognition Method with Multi-Features Extracted from Hilbert-Huang Transform.

Authors:  Huile Xu; Jinyi Liu; Haibo Hu; Yi Zhang
Journal:  Sensors (Basel)       Date:  2016-12-02       Impact factor: 3.576

  1 in total

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