Abstract

Most wearable activity recognition systems assume a predefined sensor deployment that remains unchanged during runtime. However, this assumption does not reflect real-life conditions. During the normal use of such systems, users may place the sensors in a position different from the predefined sensor placement. Also, sensors may move from their original location to a different one, due to a loose attachment. Activity recognition systems trained on activity patterns characteristic of a given sensor deployment may likely fail due to sensor displacements. In this work, we innovatively explore the effects of sensor displacement induced by both the intentional misplacement of sensors and self-placement by the user. The effects of sensor displacement are analyzed for standard activity recognition techniques, as well as for an alternate robust sensor fusion method proposed in a previous work. While classical recognition models show little tolerance to sensor displacement, the proposed method is proven to have notable capabilities to assimilate the changes introduced in the sensor position due to self-placement and provides considerable improvements for large misplacements.

Highlights

  • The technologies of daily living are devised to facilitate users’ everyday activities and to safeguard their wellbeing

  • This section analyzes the tolerance of activity recognition systems to the effects of sensor displacement measured in realistic settings

  • Restricting the way in which users must place their wearable sensor devices is unrealistic, unpractical and contributes to people’s lack of interest in the use of these systems. When these sensors are considered to be potentially embedded in clothes, garments or other portable accessories of daily living, the casualness and naturality with which users normally put on these items must seriously be taken into account

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Summary

Introduction

The technologies of daily living are devised to facilitate users’ everyday activities and to safeguard their wellbeing. Wearable technology emerges in this context to assist users in their daily tasks in a transparent manner. Sensors and systems are integrated into articles of everyday use, principally embedded in accessories. Transparency is achieved through concealing technology in a physical manner, but it is achieved when no specific attention is required from the wearer during use. On-body systems cease to be transparent when users start to need to pay attention to the way they are worn, for example, when a bracelet must be placed on a specific limb or a watch positioned in a determined orientation

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