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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 ...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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 ...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...