Multi-sensor Based Gestures Recognition with a Smart Finger Ring

  • Mehran Roshandel
  • Aarti Munjal
  • Peyman Moghadam
  • Shahin Tajik
  • Hamed Ketabdar
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8511)


Recently several optical and non-optical sensors based gesture recognition techniques have been developed to interact with computing devices. However, these techniques mostly suffer from problems such as occlusion and noise. In this work, we present Pingu, a multi-sensor based framework that is capable of recognizing simple, sharp, and tiny gestures without the problems mentioned above. Pingu has been calibrated in the form of a wearable finger ring, capable of interacting even when the device is not in the vicinity of the user. An advanced set of sensors, wireless connectivity, and feedback facilities enable Pingu for a wide range of potential applications, from novel gestures to social computing. In this paper, we present our results based on experiments conducted to explore Pingu’s use as a general gestural interaction device. Our analysis, based on simple machine learning algorithms, shows that simple and sharp gestures performed by a finger can be detected with a high accuracy, thereby, stablishing Pingu as a wearable ring to control a smart environment effectively.


Human Computer Interaction (HCI) Touch less gestural interaction Wearable device Finger ring 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Mehran Roshandel
    • 1
  • Aarti Munjal
    • 2
  • Peyman Moghadam
    • 3
  • Shahin Tajik
    • 1
  • Hamed Ketabdar
    • 4
  1. 1.Deutsche Telekom Innovations LaboratoriesBerlinGermany
  2. 2.Department of Biostatistics and InformaticsUniversity of Colorado DenverAuroraUSA
  3. 3.Autonomous SystemsCSIRO Computational InformaticsPullenvaleAustralia
  4. 4.Quality and Usability LabTU Berlin Deutsche Telekom Innovation LaboratoriesBerlinGermany

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