Voice Recognition and Inverse Kinematics Control for a Redundant Manipulator Based on a Multilayer Artificial Intelligence Network

Anh, Mai Ngoc; Bien, Duong Xuan

doi:10.1155/2021/5805232

Cited by 11 publications

(4 citation statements)

References 23 publications

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“…Además con una mayor eficiencia, la inteligencia artificial puede conducir a avances en seguridad, salud y calidad ya que la tecnología pueden usarse para evaluar sitios y completar actividades, y de esta manera enfocarse en el bienestar del personal de obra (70) , lo que se viene empleando en la actualidad en algunos países es la implementación de robots para algunos trabajos en las mobiliarias en la que se emplearon comandos simples para llevar información de acuerdo a su movimiento y características (71) .…”

Section: Calidad Y Seguridadunclassified

Una revisión sobre el rol de la inteligencia artificial en la industria de la construcción

Pérez

Peña

Vílchez

2022

inycomp

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En los últimos años las estadísticas sobre la industria de la construcción muestran un crecimiento importante que debemos tener en cuenta, de la misma manera la tecnología hace lo suyo con la creación de inteligencia artificial, es decir la creación de sistemas y máquinas que cumplen un rol importante mejorando el rendimiento, optimizando las labores y el tiempo a diferentes áreas de trabajo en la construcción, sin dejar de lado la capacitación debida para el uso de dicha tecnología. En el presente documento el objetivo es investigar y obtener una comprensión sistemática de la importancia, desafíos y soluciones que ofrece la inteligencia artificial en el mundo de la construcción, para ello se realizó una revisión de 86 artículos debidamente indexados de los últimos 7 años entre 2015 y 2021, los cuales se dividen de la siguiente manera: 39 de ScienceDirect, 24 de ESCOPUS y 23 de EBSCO, documentos en los que señalan la importancia de funcionar la inteligencia artificial y la industria de la construcción, dando buenos resultados en cuanto avance, seguridad, calidad y rendimiento en los trabajos, por lo que se puede concluir que la implementación de tecnología en la construcción es una alternativa potencialmente viable.

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Section: Calidad Y Seguridadunclassified

Una revisión sobre el rol de la inteligencia artificial en la industria de la construcción

Pérez

Peña

Vílchez

2022

inycomp

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“…It uses the color and style of the sound to create di erent images to express the content of the work and re ect the colorful life; it is e cient and subtle in sound modeling, versatile, and profound; it is the artistic life of professional voice users, and in the selection of in the process of cultivating artistic performance talents, the evaluation of voice even occupies a very important position. erefore, an appropriate evaluation of the artistic voice is crucial [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Voice Recognition and Evaluation of Vocal Music Based on Neural Network

Wang

2022

Computational Intelligence and Neuroscience

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Artistic voice is the artistic life of professional voice users. In the process of selecting and cultivating artistic performing talents, the evaluation of voice even occupies a very important position. Therefore, an appropriate evaluation of the artistic voice is crucial. With the development of art education, how to scientifically evaluate artistic voice training methods and fairly select artistic voice talents is an urgent need for objective evaluation of artistic voice. The current evaluation methods for artistic voices are time-consuming, laborious, and highly subjective. In the objective evaluation of artistic voice, the selection of evaluation acoustic parameters is very important. Attempt to extract the average energy, average frequency error, and average range error of singing voice by using speech analysis technology as the objective evaluation acoustic parameters, use neural network method to objectively evaluate the singing quality of artistic voice, and compare with the subjective evaluation of senior professional teachers. In this paper, voice analysis technology is used to extract the first formant, third formant, fundamental frequency, sound range, fundamental frequency perturbation, first formant perturbation, third formant perturbation, and average energy of singing acoustic parameters. By using BP neural network methods, the quality of singing was evaluated objectively and compared with the subjective evaluation of senior vocal professional teachers. The results show that the BP neural network method can accurately and objectively evaluate the quality of singing voice by using the evaluation parameters, which is helpful in scientifically guiding the selection and training of artistic voice talents.

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“…Finally, the voice commands have been used as an intuitive input method to control a system (Boucher et al, 2013). Recently, there have been developed new systems that incorporate techniques based on Artificial Neural Networks (ANNs) (Anh and Bien, 2021), which uses voice recognition to control a manipulator robot arm. In addition, it is presented in Loukatos et al (2021) a voice interface to remotely trigger farming actions or query the values of process parameters.…”

Section: Introductionmentioning

confidence: 99%

Development of a Sensing Platform Based on Hands-Free Interfaces for Controlling Electronic Devices

Rojas

Ponce

Molina

2022

Front. Hum. Neurosci.

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Hands-free interfaces are essential to people with limited mobility for interacting with biomedical or electronic devices. However, there are not enough sensing platforms that quickly tailor the interface to these users with disabilities. Thus, this article proposes to create a sensing platform that could be used by patients with mobility impairments to manipulate electronic devices, thereby their independence will be increased. Hence, a new sensing scheme is developed by using three hands-free signals as inputs: voice commands, head movements, and eye gestures. These signals are obtained by using non-invasive sensors: a microphone for the speech commands, an accelerometer to detect inertial head movements, and an infrared oculography to register eye gestures. These signals are processed and received as the user's commands by an output unit, which provides several communication ports for sending control signals to other devices. The interaction methods are intuitive and could extend boundaries for people with disabilities to manipulate local or remote digital systems. As a study case, two volunteers with severe disabilities used the sensing platform to steer a power wheelchair. Participants performed 15 common skills for wheelchair users and their capacities were evaluated according to a standard test. By using the head control they obtained 93.3 and 86.6%, respectively for volunteers A and B; meanwhile, by using the voice control they obtained 63.3 and 66.6%, respectively. These results show that the end-users achieved high performance by developing most of the skills by using the head movements interface. On the contrary, the users were not able to develop most of the skills by using voice control. These results showed valuable information for tailoring the sensing platform according to the end-user needs.

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Voice Recognition and Inverse Kinematics Control for a Redundant Manipulator Based on a Multilayer Artificial Intelligence Network

Cited by 11 publications

References 23 publications

Una revisión sobre el rol de la inteligencia artificial en la industria de la construcción

Una revisión sobre el rol de la inteligencia artificial en la industria de la construcción

Voice Recognition and Evaluation of Vocal Music Based on Neural Network

Development of a Sensing Platform Based on Hands-Free Interfaces for Controlling Electronic Devices

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