A name recognition based call-and-come service for home robots

Oh, Yoo Rhee; Yoon, Jae Sam; Park, Ji; Kim, Mina; Kim, Hong

doi:10.1109/tce.2008.4560082

Cited by 31 publications

(11 citation statements)

References 10 publications

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“…Language is the primary means of information transmission for human, and speech recognition technology is one of the most popular and most promising information technology in the world [7]. Speech recognition technology as human interface device has the advantages of simple, fast and flexible, so it will play a huge role in military, civilian and commercial areas in the future.…”

Section: Discussionmentioning

confidence: 99%

Design of Intelligent Drawer Control System Based on Speech Recognition Technology

Wang¹,

Yan²,

Song³

et al. 2015

Advances in Intelligent Systems Research

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Aiming at the problem that surgeons can not open unsterilized drawers by themselves after hand disinfection, intelligent drawer speech recognition control system was designed. The system based on non-specific person speech recognition technology takes embedded microprocessor as the core, consists of power modules, speech recognition module, stepper motor driver module and action execution system. Key words list and distance of recognition is set in program as needed, then speech recognition control system tests whether the speech of non-specific person accords with the given key words, and generates pulse width modulation signal to control stepper motor, then ball screw convert stepper motor's rotary motion into linear motion to control drawer's open and close. In order to ensure system performance, the corresponding experiments were did. Experiment results showed that speech recognition rate of system in the indoor environment can reach 90% or more, and it in the outdoor environment also can reach 81.7%. System stability is better in the quiet, and control system could do correct response when key words are said two times at the most. And it has declined in the noisy, and in order to make control system do correct response, some control orders need to be said three times or more. System real-time response can be guaranteed in the quiet, and response time is less than 2 s, it need more time in the noisy.

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Section: Discussionmentioning

confidence: 99%

Design of Intelligent Drawer Control System Based on Speech Recognition Technology

Wang¹,

Yan²,

Song³

et al. 2015

Advances in Intelligent Systems Research

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show abstract

“…After this centroid of each row and (6) each column of the centred voice sample is calculated and matrix of the centroid obtained is stored in database.…”

Section: ) Calculation Of Centroidmentioning

confidence: 99%

“…Lately, automatic speech recognition (ASR) technology has been successfully applied to consumer electronics devices, such as home robot [6], car navigation system [7], and automatic sound recognition system for the hearing impaired [8].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of MFCC for speaker verification on various windows

Jain

Sharma

2014

International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014)

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Speech identification has been an imperative part of human life acting as one of the five senses of individual body, due to which application developed on the basis of speech identification has high degree of approval. Different steps are carried out in order to analyze the speaker verification using small programs with the help of MATLAB 10.0 and for this paper; the system will recognize continuous words or sentences. This paper discusses a modified approach to implement a text independent speaker verification system and to evaluate the recognition rate using different windows. The experiment has been performed on English language speech database for speaker recognition (ELSDSR) and Indian voice database (IVD) and has been found that as the number of training voice samples increases the recognition rate of the system increases and out all of the windows used hamming window gives the best result. Further result show that highest recognition rate can be achieved by other windows in case if test voice samples persists in one train voice samples. (Abstract)

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“…In recent years, mobile robots are being widely used in industrial automation, home automation, hospitals, entertainment, space exploration, military, etc [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 ]. Due to the decreased size and the low cost of mobile robots, more and more mobile robots are now working around us and they will help us a lot in our daily lives, such as cooking, cleaning, house plant watering, pet feeding, and taking care of children [ 1 , 2 , 3 , 4 , 5 ]. In order to complete these tasks continuously and efficiently, many auto-recharging methods have been proposed.…”

Section: Introductionmentioning

confidence: 99%

“…This paper adopts mode (3). Based on the official specifications [ 5 ], its control instruction is Opcode (Open Interface control instruction), including Start, Stop, Drive, Drive Direct, which represent start, stop, forward/backward, and rotation, respectively. These commands are used to control robot.…”

Section: Introduction To the Testing Cleaning Robot And Hardware Smentioning

confidence: 99%

High-Efficiency Automatic Recharging Mechanism for Cleaning Robot Using Multi-Sensor

Chang

Tang

et al. 2018

Sensors

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Cleaning robot has the highest penetration rate among the service robots. This paper proposes a high-efficiency mechanism for an intelligent cleaning robot automatically returns to charging in a short time when the power is insufficient. The proposed mechanism initially combines the robot’s own motor encoder with neural network linear regression to calculate the moving distance and rotation angle for the location estimation of the robot itself. At the same time, a self-rotating camera is applied to scan the number of infrared spots on the docking station to find the location of the docking station so that the cleaning robot returns to charging properly in two stages, existing infrared range and extended infrared range. In addition, six-axis acceleration and ultrasound are both applied to deal with the angle error that is caused by collision. Experimental results show that the proposed recharging mechanism significantly improves the efficiency of recharging.

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A name recognition based call-and-come service for home robots

Cited by 31 publications

References 10 publications

Design of Intelligent Drawer Control System Based on Speech Recognition Technology

Design of Intelligent Drawer Control System Based on Speech Recognition Technology

Evaluation of MFCC for speaker verification on various windows

High-Efficiency Automatic Recharging Mechanism for Cleaning Robot Using Multi-Sensor

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