Seiichi Serikawa

MCP–LSTM for EEG Seizure Detection and Exploratory Type Assignment Using Physiologically Motivated Fixed–Window Segmentation

Zijun Yang, Shi Sheng Zhou, Zhen Li, Yuliang Gao et autres

cn, jp (code pays fourni par la source)

Retraction Note to: Using Key Point Detection to Extract Three Dimensional Phenotypes of Corn

Yuliang Gao, Zhen Li, Seiichi Serikawa, Bin Li et autres

jp, cn (code pays fourni par la source)

Enhancing Rotation Gain Manipulation in Redirected Walking Using Virtual Sound Sources

Airi Taniguchi, Takafumi Etou, Seiichi Serikawa

Improving the Search Ability of the S-System Using Mutation Rate Adjustment During Search Stagnation

Rintarou Moriyama, Yusuke Nakashima, Seiichi Serikawa

The S-System is an artificial life approach that acquires functional structures through evolution, offering the advantage of explicitly observing the final structure obtained. However, it suffers from the problem that fitness stagnates during the evolutionary process when the population gets stuck in …

jp (code pays fourni par la source)

An Autonomous Auto-Lock Operation System Using Object Detection and Monocular Angle Estimation

Airi Taniguchi, Takahito Kaji, Seiichi Serikawa

This study proposes an autonomous auto-lock operation system for mobile delivery robots and evaluates its performance in object detection, orientation control, and button input tasks. As delivery robots become increasingly common in residential and commercial environments, the ability to automatically operate keypad-based …

jp (code pays fourni par la source)

Improving Search Ability of S-System by Expanding the Concept of Lifespan

Yusuke Nakashima, Rintaro Moriyama, Seiichi Serikawa

This study aims to improve the search performance of function discovery within the S-System artificial life model. By introducing survival probability and extinction, we extend the concept of age to prevent search stagnation caused by convergence to local optima. Unlike previous studies …

jp (code pays fourni par la source)

A Real-Time Visual Interaction Monitoring System for Accidental Detergent Ingestion

Airi Taniguchi, Sozo Inoue, Yuhki Kitazono, Seiichi Serikawa

Accidental ingestion of hazardous household substances, such as detergents and fabric softeners, poses a serious risk to older adults with dementia, particularly in home environments where continuous supervision is difficult. While existing monitoring systems mainly focus on fall or wandering behaviors, real-time …

jp (code pays fourni par la source)

Development of a Crooked Road Sign Recognition System

Momoka Shiraishi, Airi Taniguchi, Seiichi Serikawa, Yuhki Kitazono

Various signs on roads serve to indicate traffic rules and regulations. The majority of these signs are composed of metal and are structurally sound; however, a significant number of signs throughout the country have been distorted due to the effects of aging, …

jp (code pays fourni par la source)

Generalizable Zero-Shot Object Pose Estimation for Bin-Picking

Zijiang Zhang, Huimin Lu, Jintong Cai, Tohru Kamiya et autres

Unordered grasping in industrial robotic manipulation requires precise six-degree-of-freedom (6D) pose estimation. However, existing methods often struggle with unknown objects and require retraining, limiting their practicality. Traditional 3D point-pair feature methods, while training-free, perform poorly with textured symmetric objects. We propose a …

jp, cn (code pays fourni par la source)

Speech emotion recognition based on multi-feature speed rate and LSTM

Zijun Yang, Zhen Li, Shi Sheng Zhou, Lifeng Zhang et autres

jp, cn (code pays fourni par la source)

Proposal of Automatic Sirocco Fan Washing System

Momoka Shiraishi, Haru Okazaki, Seiichi Serikawa, Yuhki Kitazono

Household chores are an essential part of daily life. Household chores include cleaning, laundry, cooking, and many others, but it is difficult to perform them every day. In particular, cleaning grease stains is often stubborn and troublesome. In addition, many ventilation fans …

jp (code pays fourni par la source)

Single Image Reflection Removal Using DeepLabv3+

Keisuke Hamamoto, Naoya Hideshima, Huimin Lu, Seiichi Serikawa

jp (code pays fourni par la source)