scholarly journals Audio Database for TIAGo Service Robot

2021 ◽  
Vol 14 (1) ◽  
pp. 1-5
Author(s):  
Lacrimioara Grama ◽  
Lorena Muscar ◽  
Corneliu Rusu ◽  
Toma Telembici
Keyword(s):  
Indoor Environment ◽  
Chronically Ill ◽  
Acoustic Signals ◽  
Service Robot ◽  
Audio Signals ◽  
Recorded Sound

Abstract In this paper we present an updated version of the audio database acquired by the TIAGo service robot and by the simulated TIAGo service robot. To the initial database which consists in 1380 audio signals we have added 1920 more acoustic signals. The audio database consists now in 3300 isolated audio events corresponding to 110 classes. All the recorded sound events correspond to the indoor environment, and they are spread into five different scenarios: kitchen, room, appliances, voice and non-verbal. The audio database is intended to be used in order to identify indoor events based on audio signature, especially when elderly or chronically ill people live alone.

scholarly journals Online Training for Face Recognition System Using Improved PCA

2011 ◽  
Vol 2 (2) ◽  
pp. 1303
Author(s):  
Widodo Budiharto
Keyword(s):  
Face Recognition ◽  
Stereo Vision ◽  
Indoor Environment ◽  
Online Training ◽  
Recognition System ◽  
Service Robot ◽  
Challenging Problem ◽  
Face Database ◽  
Face Images ◽  
Face Recognition System

The variation in illumination is one of the main challenging problem for face recognition. It has been proven that in face recognition, differences caused by illumination variations are more significant than differences between individuals. Recognizing face reliably across changes in pose and illumination using PCA has proved to be a much harder problem because eigenfaces method comparing the intensity of the pixel. To solve this problem, this research proposes an online face recognition system using improved PCA for a service robot in indoor environment based on stereo vision. Tested images are improved by generating random values for varying the intensity of face images. A program for online training is also developed where the tested images are captured real-time from camera. Varying illumination in tested images will increase the accuracy using ITS face database which its accuracy is 95.5 %, higher than ATT face database’s as 95.4% and Indian face database’s as 72%. The results from this experiment are still evaluated to be improved in the future.

Map Building in Indoor Environment for Service Robot Based on Laser Sensor

2012 ◽  
Vol 461 ◽  
pp. 671-676
Author(s):  
Long Hui Wu ◽  
Shi Gang Cui ◽  
Li Zhao
Keyword(s):  
Autonomous Navigation ◽  
Indoor Environment ◽  
Service Robot ◽  
Laser Sensor ◽  
Uncertain Information ◽  
Map Building ◽  
Environment Map ◽  
Map Updating ◽  
Fitting In ◽  
Local Map

Map building is an essential problem in the field of mobile robot research. The accurate environmental map provides the important safeguard for the robot autonomous navigation and localization. In this paper, the two-dimensional environment map based on geometric features information was built by laser data when service robot worked in indoor structured environment. However, this article focused on analyzing the method of line fitting in the process of building local map and the method of global map updating. The experiment indicated that this method has the high accuracy and effectiveness, also reduces error caused by the uncertain information in the process of map building, which makes the indoor environment map update in real time.

scholarly journals A Bayesian Approach for Sound Source Estimation

1970 ◽  
Vol 7 (2) ◽  
pp. 196-204
Author(s):  
Krittameth Teachasrisaksakul ◽  
Surapa Thiemjarus ◽  
Chantri Polprasert
Keyword(s):  
Bayesian Approach ◽  
Sound Source ◽  
Classification Accuracy ◽  
Indoor Environment ◽  
Bayesian Method ◽  
Microsoft Kinect ◽  
Service Robot ◽  
Mobile Service ◽  
Mobile Service Robot ◽  
Microsoft Kinect Sensor

The goal of this study is to equip a mobile service robot with an ability to navigate to the human who commands the robot by speech. Based on time delay of arrival (TDOA) features, a Bayesian approach to sound source direction estimation is proposed. The method requires low computational complexity and is feasible for real-time robot navigation. Based on an experiment with various parameter settings in an indoor environment, different factors that affect the classification accuracy have been analyzed. The experiment results have illustrated that the proposed Bayesian method outperforms both that of the Microsoft Kinect sensor and the trigonometric approach in terms of classification accuracy.

Acquisition of autonomous behavior of a guide service robot in indoor environment

2019 ◽  
Vol 2019 (0) ◽  
pp. 1A1-L02
Author(s):  
Kento TOMITA ◽  
Michiko WATANABE ◽  
Ikuo SUZUKI ◽  
Kenji IWADATE ◽  
Masashi FURUKAWA
Keyword(s):  
Indoor Environment ◽  
Service Robot ◽  
Autonomous Behavior

Outreach Opportunities Using the Instructional SEM at Iowa State University

1996 ◽  
Vol 54 ◽  
pp. 412-413
Author(s):  
L. S. Chumbley ◽  
M. Meyer ◽  
K. Fredrickson ◽  
F.C. Laabs
Keyword(s):  
Materials Science ◽  
State University ◽  
Digital Cameras ◽  
Audio Signals ◽  
Iowa State University ◽  
Cornell University ◽  
Sem Image ◽  
Local Schools ◽  
Materials Science And Engineering ◽  
Video And Audio

The development of a scanning electron microscope (SEM) suitable for instructional purposes has created a large number of outreach opportunities for the Materials Science and Engineering (MSE) Department at Iowa State University. Several collaborative efforts are presently underway with local schools and the Department of Curriculum and Instruction (C&I) at ISU to bring SEM technology into the classroom in a near live-time, interactive manner. The SEM laboratory is shown in Figure 1.Interactions between the laboratory and the classroom use inexpensive digital cameras and shareware called CU-SeeMe, Figure 2. Developed by Cornell University and available over the internet, CUSeeMe provides inexpensive video conferencing capabilities. The software allows video and audio signals from Quikcam™ cameras to be sent and received between computers. A reflector site has been established in the MSE department that allows eight different computers to be interconnected simultaneously. This arrangement allows us to demonstrate SEM principles in the classroom. An Apple Macintosh has been configured to allow the SEM image to be seen using CU-SeeMe.

Perceived Burden of Informal Caregivers of a Chronically Ill Older Family Member

GeroPsych ◽  
2011 ◽  
Vol 24 (3) ◽  
pp. 143-154 ◽  
Author(s):  
Elmar Gräßel ◽  
Raffaela Adabbo
Keyword(s):  
Family Member ◽  
Informal Caregiver ◽  
Chronically Ill ◽  
Stress Model ◽  
The Past ◽  
Perceived Burden ◽  
Hypothetical Construct ◽  
Care Situation ◽  
The Impact ◽  
Further Development

The burden of caregivers has been intensively researched for the past 30 years and has resulted in a multitude of individual findings. This review illustrates the significance of the hypothetical construct of perceived burden for the further development and design of the homecare situation. Following explanations regarding the term informal caregiver, we derive the construct burden from its conceptual association with the transactional stress model of Lazarus and Folkman. Once the extent and characteristics of burden have been set forth, we then present the impact of perceived burden as the care situation. The question of predictors of burden will lead into the last section from which implications can be derived for homecare and relief of caregivers.

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