A Preliminary Study on Reaching Position Estimation Model for the Subtle Action Disruption

Yoshinobu Miya, Takehiko Yamaguchi, Tania Giovannetti, Maiko Sakamoto, Hayato Ohwada

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


In neuropsychological impairment, micro-error (ME) defines the slight stagnation of movement in reaching actions when the patient is presented with an interference stimulus satisfying the condition around the target stimulus of the reached object. After passing the interfering stimulus, the reaching orbit at the ME-generation point is corrected to the direction of the target stimulus. To identify the interfering stimuli that cause ME, we developed a model that estimates the arrival position in the initial motion time. The reaching position is estimated from the momentum features by a Gaussian-process regression model during two time periods: the time of the velocity waveform peak and the time of the acceleration peak. The coefficients of determination in the acceleration and velocity models were 0.98 respectively, in both the x and z directions. Given the information up to the peak velocity time, the arrival position was estimated to within ± 1 cm.

Original languageEnglish
Title of host publicationHCI International 2020 – Late Breaking Papers
Subtitle of host publicationUniversal Access and Inclusive Design - 22nd HCI International Conference, HCII 2020, Proceedings
EditorsConstantine Stephanidis, Margherita Antona, Qin Gao, Jia Zhou
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages9
ISBN (Print)9783030601485
Publication statusPublished - 2020
Event22nd International Conference on Human Computer Interaction, HCII 2020 - Copenhagen, Denmark
Duration: 19 Jul 202024 Jul 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12426 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference22nd International Conference on Human Computer Interaction, HCII 2020


  • Dementia
  • Gaussian process regression
  • Instrumental activities of daily living
  • Machine learning
  • Micro-error
  • Mild cognitive impairment


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