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Chapter
DNN and LiDAR Sensor Based Crowd Avoidance Method for Nurse-Following Robot in Healthcare
In a crowded area like a shop** mall, supermarket, airport, railway stations, hospitals, etc. to give the service to a target person we should consider two things. First, we should track the target person in...
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Chapter and Conference Paper
Tracking People Using Ankle-Level 2D LiDAR for Gait Analysis
People tracking is one of the fundamental goals of human behavior recognition. Development of cameras, tracking algorithms and effective computations make it appropriate. But, when the question is privacy and ...
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Chapter and Conference Paper
Video Analysis of Wheel Pushing Actions for Wheelchair Basketball Players
In wheelchair basketball, the performance of a player is not only determined by his/her physical ability but also depending on the settings of the wheelchair such as the height and/or angle of its seat and the...
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Chapter and Conference Paper
Person Property Estimation Based on 2D LiDAR Data Using Deep Neural Network
Video-based estimation plays a very significant role in person identification and tracking. The emergence of new technology and increased computational capabilities make the system robust and accurate day by d...
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Chapter and Conference Paper
Robust and Fast Heart Rate Monitoring Based on Video Analysis and Its Application
Techniques to remotely measure heartbeat information are useful for many applications such as daily health management and emotion estimation. In recent years, some methods to measure heartbeat information usi...
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Chapter and Conference Paper
Indoor Visual Re-localization Based on Confidence Score Using Omni-Directional Camera
In this paper, we propose a novel re-localization method with deep learning using monocular image. A data augmentation method with semi-omni-directional image is introduced. Our method aims re-localization to ...
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Chapter and Conference Paper
Depth Guided Attention for Person Re-identification
Person re-identification is an important video-surveillance task for recognizing people from different non-overlap** camera views. Recently it has gained significant attention upon the introduction of differ...
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Chapter and Conference Paper
Person-Following Shop** Support Robot Using Kinect Depth Camera Based on 3D Skeleton Tracking
The lack of caregivers in an aging society is a major social problem. Without assistance, many of the elderly and disabled are unable to perform daily tasks. One important daily activity is shop** in superma...
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Article
Open AccessAn intelligent shop** support robot: understanding shop** behavior from 2D skeleton data using GRU network
In supermarkets or grocery, a shop** cart is a necessary tool for shop**. In this paper, we have developed an intelligent shop** support robot that can carry a shop** cart while following its owners an...
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Chapter and Conference Paper
A Human-Robot Interaction System Based on Calling Hand Gestures
Human-Robot Interaction (HRI) is one of the most important aspects of development in social service robots. Interacting with social robots via non-verbal cues allows for natural and efficient communication wit...
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Chapter and Conference Paper
Robotic Shop** Trolley for Supporting the Elderly
As the advance of an aging society in Japan, along with the lack of caregivers, the elderly care has become a crucial social problem. To cope with this problem, we are focusing on shop**. Shop** is one of ...
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Chapter and Conference Paper
A Person-Following Shop** Support Robot Based on Human Pose Skeleton Data and LiDAR Sensor
In this paper, we address the problem of real-time human pose-based robust person tracking for a person following shop** support robot. We achieve this by crop** the target person’s body from the image and...
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Chapter and Conference Paper
Smart Wheelchair Maneuvering Among People
The advancement of technology is increasing with several applications on robotics like smart wheelchairs providing autonomous functions for severely impaired users with less need of caregiver support. One of t...
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Chapter and Conference Paper
Exploiting Local Shape Information for Cross-Modal Person Re-identification
In computer vision, person re-identification (Re-id) is an important problem, aiming to match people across multiple camera views. Most of the existing Re-id systems widely use RGB-based appearance cues, which...
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Chapter and Conference Paper
Autonomous Bus Boarding Robotic Wheelchair Using Bidirectional Sensing Systems
Research interest in robotic wheelchairs is driven in part by their potential for improving the independence and quality-of-life of persons with disabilities and the elderly. Moreover, smart wheelchair systems...
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Chapter and Conference Paper
Natural Calling Gesture Recognition in Crowded Environments
Most existing gesture recognition algorithms use fixed postures in simple environments. In natural calling, the user may perform gestures in various positions and the environment may be occupied by many people...
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Chapter and Conference Paper
Classification of Emotions from Video Based Cardiac Pulse Estimation
Recognizing emotion from video is an active research theme with many applications such as human-computer interaction and affective computing. The classification of emotions from facial expression is a common ...
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Chapter and Conference Paper
Smart Robotic Wheelchair for Bus Boarding Using CNN Combined with Hough Transforms
In recent times, several smart robotic wheelchair research studies have been conducted for the sake of providing a safe and comfortable ride for the user with real-time autonomous operations like object recogn...
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Chapter and Conference Paper
Detecting Inner Emotions from Video Based Heart Rate Sensing
Recognizing human emotion by computer vision is an interesting and challenging problem. In particular, the reading of inner emotions, has received limited attention. In this paper, we use a remote video-based ...
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Chapter and Conference Paper
A Comparative Study on Self-Adaptive Differential Evolution Algorithms for Test Functions and a Real-World Problem
This paper compares novel self-adaptive Differential Evolution algorithms (SADEs) on noisy test functions to see how robust the algorithms are against noise in fitness function. This paper also compares the pe...
