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Interrupts Become Features: Using On-Sensor Intelligence for Recognition Tasks

  • Kristof Van LaerhovenEmail author
  • Philipp M. Scholl
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 421)

Abstract

Wearable sensors have traditionally been designed around a micro controller that periodically reads values from attached sensor chips, before analyzing and forwarding data. As many off-the-shelf sensor chips have become smaller and widespread in consumer appliances, the way they are interfaced has become digital and more potent. This paper investigates the impact of using such chips that are not only smaller and cheaper as their predecessors, but also come with an arsenal of extra processing and detection capabilities, built in the sensor package. A case study with accompanying experiments using two MEMS accelerometers, show that using these capabilities can cause significant reductions in resources for data acquisition, and could even support basic recognition tasks.

Keywords

Sensor Node Sensor Chip Sleep Mode Wearable Sensor Inactivity Time 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Embedded Systems Lab, Department of EngineeringUniversity of FreiburgFreiburgGermany

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