Experiment on the empathic reaction of an animatronic structure determined by a voice command

Bicycles are not equipped with the turn signal. For driving safety, a bicycle helmet with a turn signal is designed with voice rrecognition. It is using the Arduino Nano as a controller to control the ON and OFF of turn signal lights with voice commands. This device uses a Voice Recognition sensor and microphone that placed on a bicycle helmet. When the voice command is mentioned in the microphone, the Voice Recognition sensor will detect the command specified, the sensor will automatically read and send a signal to Arduino, then the turn signal will light up as instructed, the Arduino on the helmet will send an indicator signal via the Bluetooth Module. The device is able to detect sound with a percentage of 80%. The tool can work with a distance of <2 meters with noise <71 db.

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A Fast Voice Command Recognition Algorithm Based on the Hidden Markov Model Stationary Distribution

Vestnik MEI ◽

10.24160/1993-6982-2018-5-65-72 ◽

2018 ◽

Vol 5 (5) ◽

pp. 65-72

Author(s):

Pavel A. Paramonov ◽

◽

Ivan V. Ognev ◽

Keyword(s):

Markov Model ◽

Hidden Markov Model ◽

Stationary Distribution ◽

Hidden Markov ◽

Recognition Algorithm ◽

Voice Command

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Improving the accuracy of Persian HMM-based Voice Command Detection System in Smart Homes Based on Ontology Method

2020 6th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS) ◽

10.1109/icspis51611.2020.9349596 ◽

2020 ◽

Author(s):

Leila Safarpoor Kalkhoran ◽

Shima Tabibian ◽

Elaheh Homayounvala

Keyword(s):

Detection System ◽

Smart Homes ◽

Voice Command

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Robot control based on voice command

2008 IEEE International Conference on Automation and Logistics ◽

10.1109/ical.2008.4636587 ◽

2008 ◽

Cited By ~ 7

Author(s):

Xiaoling Lv ◽

Minglu Zhang ◽

Hui Li

Keyword(s):

Robot Control ◽

Voice Command

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CSVC-Net: Code-Switched Voice Command Classification using Deep CNN-LSTM Network

10.1109/icievicivpr52578.2021.9564183 ◽

2021 ◽

Author(s):

Arowa Yasmeen ◽

Fariha Ishrat Rahman ◽

Sabbir Ahmed ◽

Md. Hasanul Kabir

Keyword(s):

Voice Command ◽

Deep Cnn ◽

Lstm Network

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Development of Control System for Opening and Closing Electrical Equipment with Thai Voice Command Using by K-Nearest Neighbor Technical

2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) ◽

10.1109/sitis.2019.00094 ◽

2019 ◽

Author(s):

Worawut Yimyam ◽

Thidarat Pinthong ◽

Mahasak Ketcham

Keyword(s):

Control System ◽

Nearest Neighbor ◽

Electrical Equipment ◽

K Nearest Neighbor ◽

Voice Command ◽

Opening And Closing

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Navigation Security Module with Real-Time Voice Command Recognition System

Polish Maritime Research ◽

10.1515/pomr-2017-0046 ◽

2017 ◽

Vol 24 (2) ◽

pp. 17-26

Author(s):

Mustafa Yagimli ◽

Huseyin Kursat Tezer

Keyword(s):

Real Time ◽

Situational Awareness ◽

Predictive Coding ◽

Recognition System ◽

Time Warping ◽

Linear Predictive Coding ◽

Mel Frequency Cepstral Coefficients ◽

Voice Command ◽

Security Module ◽

Dynamic Time

Abstract The real-time voice command recognition system used for this study, aims to increase the situational awareness, therefore the safety of navigation, related especially to the close manoeuvres of warships, and the courses of commercial vessels in narrow waters. The developed system, the safety of navigation that has become especially important in precision manoeuvres, has become controllable with voice command recognition-based software. The system was observed to work with 90.6% accuracy using Mel Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW) parameters and with 85.5% accuracy using Linear Predictive Coding (LPC) and DTW parameters.

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