Motion Estimation of Plush Toys Through Detachable Acceleration Sensor Module and Machine Learning

Kaho Kato, Naoto Ienaga, Yuta Sugiura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a system that estimates motion in a plush toy by means of an attached sensor device and gives the user a sound feedback corresponding to the predicted motion. We have created several different types of detachable acceleration sensor modules as an accessory for the toy. This module can be attached at any position on a commercially available plush toy. The user can create original motions by teaching through demonstration, and the captured sensor data is converted into 2D image data. We extracted the histograms of oriented gradients (HOG) features and performed learning with a support vector machine (SVM). In an evaluation, we decided the attaching parts and motions in advance, and participants moved a plush toy in accordance with these. Results showed that it was possible to estimate the plush toy’s motion with high accuracy, and the system was able to register a sound for each motion.

Original languageEnglish
Title of host publicationHCI International 2019 - Posters - 21st International Conference, HCII 2019, Proceedings
EditorsConstantine Stephanidis
PublisherSpringer Verlag
Pages279-286
Number of pages8
ISBN (Print)9783030235277
DOIs
Publication statusPublished - 2019 Jan 1
Event21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
Duration: 2019 Jul 262019 Jul 31

Publication series

NameCommunications in Computer and Information Science
Volume1033
ISSN (Print)1865-0929

Conference

Conference21st International Conference on Human-Computer Interaction, HCI International 2019
CountryUnited States
CityOrlando
Period19/7/2619/7/31

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Keywords

  • Interactive plush toy
  • Machine learning
  • Teaching by demonstration

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

Cite this

Kato, K., Ienaga, N., & Sugiura, Y. (2019). Motion Estimation of Plush Toys Through Detachable Acceleration Sensor Module and Machine Learning. In C. Stephanidis (Ed.), HCI International 2019 - Posters - 21st International Conference, HCII 2019, Proceedings (pp. 279-286). (Communications in Computer and Information Science; Vol. 1033). Springer Verlag. https://doi.org/10.1007/978-3-030-23528-4_39