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  1. No Access

    Chapter and Conference Paper

    Effects of Virtual Space in Soccer Tactical Instruction

    When soccer coaches provide tactical knowledge to players, they use soccer tactic boards and films. However, players often struggle to understand the instructions because the players require spatial cognition ...

    Asahi Sato, Yohei Murakami in HCI International 2022 – Late Breaking Pap… (2022)

  2. No Access

    Chapter and Conference Paper

    Human-Centered Artificial Intelligence: Beyond a Two-Dimensional Framework

    Shneiderman’s Human-Centered Artificial Intelligence (HCAI) framework suggests that high human control of automation is necessary to create reliable, safe, and trustworthy systems. The HCAI framework demonstra...

    Matthew Pacailler, Sarah Yahoodik in HCI International 2022 – Late Breaking Pap… (2022)

  3. No Access

    Chapter and Conference Paper

    Tracing People’s Experiences with Registrated Spatio-Temporal Photographs in AR Spaces

    We propose a new style smartphone application that presents past photographs in AR (Augmented Reality) at the location in the real world where they were taken. The application consists of a process that provid...

    Ryoo Fujiwara, Masatoshi Arikawa, Ryo Sato in HCI International 2022 Posters (2022)

  4. No Access

    Chapter and Conference Paper

    A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model

    Low-power neuromorphic hardware is indispensable for edge computing. In this study, we report the simulation results of a spiking neuron circuit. The circuit based on the Izhikevich neuron model is designed to...

    Shigeo Sato, Satoshi Moriya, Yuka Kanke in Artificial Neural Networks and Machine Lea… (2021)

  5. No Access

    Chapter and Conference Paper

    Omnidirectional Flick View

    We propose a novel interface that naturally and dynamically augments practical horizontal field-of-view via Head-Mounted Display (HMD). Instead of showing whole omnidirectional sight, we realize augmentation o...

    Ryota Suzuki, Tomomi Sato, Kenji Iwata in Virtual, Augmented and Mixed Reality (2021)

  6. No Access

    Chapter and Conference Paper

    Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks

    This paper introduces our methodology to estimate sidewalk accessibilities from wheelchair behavior via a triaxial accelerometer in a smartphone installed under a wheelchair seat. Our method recognizes sidewal...

    Takumi Watanabe, Hiroki Takahashi, Goh Sato in Deep Learning for Human Activity Recogniti… (2021)

  7. Chapter and Conference Paper

    Develo** an AR Remote Collaboration System with Semantic Virtual Labels and a 3D Pointer

    Referential communication is common in physical remote collaboration. To successfully transfer instructions, remote instructors have to refer objects in the local worker’s environment. However, it is known tha...

    Tzu-Yang Wang, Yuji Sato, Mai Otsuki in Human Interface and the Management of Info… (2020)

  8. No Access

    Chapter and Conference Paper

    Infra-Slow Electroencephalogram Power Associates with Reaction Time in Simple Discrimination Tasks

    Infra-slow (<0.1 Hz) electroencephalography (EEG) activity is recently thought to be an important clue for the elucidation of the default mode network (DMN), one of large-scale brain networks, which is known t...

    Naoyuki Sato, Yuichi Katori in Neural Information Processing (2019)

  9. No Access

    Chapter and Conference Paper

    Early Churn User Classification in Social Networking Service Using Attention-Based Long Short-Term Memory

    Social networking services (SNSs) see much early churn of new users. SNSs can provide effective interventions by identifying potential early churn users and important factors leading to early churn. The long s...

    Koya Sato, Mizuki Oka, Kazuhiko Kato in Trends and Applications in Knowledge Disco… (2019)

  10. No Access

    Chapter and Conference Paper

    SEPHLA: Challenges and Opportunities Within Environment - Personal Health Archives

    It is well known that environment and human health have a close relationship. Many researchers have pointed out the high association between the condition of an environment (e.g. pollutant concentrations, weat...

    Tomohiro Sato, Minh-Son Dao, Kota Kuribayashi, Koji Zettsu in MultiMedia Modeling (2019)

  11. No Access

    Chapter and Conference Paper

    Accessible Reasoning with Diagrams: From Cognition to Automation

    High-tech systems are ubiquitous and often safety and security critical: reasoning about their correctness is paramount. Thus, precise modelling and formal reasoning are necessary in order to convey knowledge ...

    Zohreh Shams, Yuri Sato, Mateja Jamnik in Diagrammatic Representation and Inference (2018)

  12. Chapter and Conference Paper

    Downtown Osaka Scene Text Dataset

    This paper presents a new scene text dataset named Downtown Osaka Scene Text Dataset (in short, DOST dataset). The dataset consists of sequential images captured in shop** streets in downtown Osaka with an o...

    Masakazu Iwamura, Takahiro Matsuda in Computer Vision – ECCV 2016 Workshops (2016)

  13. No Access

    Chapter and Conference Paper

    Improved Chaotic Multidirectional Associative Memory

    In this paper, we propose an Improved Chaotic Multidirectional Associative Memory (ICMAM). The proposed model is based on the Chaotic Multidirectional Associative Memory (CMAM) which can realize one-to-many as...

    Hiroki Sato, Yuko Osana in Artificial Neural Networks and Machine Learning – ICANN 2016 (2016)

  14. No Access

    Chapter and Conference Paper

    Memory of Reading Literature in a Hippocampal Network Model Based on Theta Phase Coding

    Using computer simulations, the authors have demonstrated that temporal compression based on theta phase coding in the hippocampus is essential for the encoding of episodic memory occurring on a behavioral tim...

    Naoyuki Sato in Neural Information Processing (2016)

  15. No Access

    Chapter and Conference Paper

    Reconstructing Shape and Appearance of Thin Film Objects with Hyper Spectral Sensor

    Modeling the shape and appearance of a thin film object has promising applications such as heritage-modeling and industrial inspections. In the same time, such modeling is a frontier of computer vision and con...

    Yoshie Kobayashi, Tetsuro Morimoto, Imari Sato in Computer Vision -- ACCV 2014 (2015)

  16. No Access

    Chapter and Conference Paper

    Simple Feature Quantities for Learning of Dynamic Binary Neural Networks

    This paper presents simple feature quantities for learning of dynamic binary neural networks. The teacher signal is a binary periodic orbit corresponding to control signal of switching circuits. The feature qu...

    Ryuji Sato, Toshimichi Saito in Neural Information Processing (2015)

  17. Chapter and Conference Paper

    Depth and Arbitrary Motion Deblurring Using Integrated PSF

    In recent years, research for recovering depth blur and motion blur in images has been making a significant progress. In particular, the progress in computational photography enabled us to generate all-in-focu...

    Takeyuki Kobayashi, Fumihiko Sakaue, Jun Sato in Computer Vision - ECCV 2014 Workshops (2015)

  18. No Access

    Chapter and Conference Paper

    Asymmetric Feature Representation for Object Recognition in Client Server System

    This paper proposes asymmetric feature representation and efficient fitting feature spaces for object recognition in client server system. We focus on the fact that the server-side has more sufficient memory a...

    Yuji Yamauchi, Mitsuru Ambai, Ikuro Sato, Yuichi Yoshida in Computer Vision – ACCV 2014 (2015)

  19. No Access

    Chapter and Conference Paper

    Encoding Dependency Pair Techniques and Control Strategies for Maximal Completion

    This paper describes two advancements of SAT-based Knuth-Bendix completion as implemented in Maxcomp. (1) Termination techniques using the dependency pair framework are encoded as satisfiability problems, includi...

    Haruhiko Sato, Sarah Winkler in Automated Deduction - CADE-25 (2015)

  20. No Access

    Chapter and Conference Paper

    Color Photometric Stereo Using a Rainbow Light for Non-Lambertian Multicolored Surfaces

    This paper presents a novel approach for recovering the shape of non-Lambertian, multicolored objects using two input images. We show that a ring light source with complementary colored lights has the potentia...

    Sejuti Rahman, Antony Lam, Imari Sato, Antonio Robles-Kelly in Computer Vision – ACCV 2014 (2015)

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