Facultad de Derecho, Ciencias Administrativas y Sociales
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Item type:Publication, Influence of social networks in associativity mechanisms and their impact on agricultural results(2020) ;Uset-Ruiz, F. ;Merizalde-Paredes, J.R. ;Pérez-Campdesuñer, R. ;Rodríguez, A.S.García-Vidal, G. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Metodología para la identificación biométrica a partir de señales EEG en múltiples estados emocionales(2023) ;Carolina Duque Mejía ;Andrés Castro ;Eduardo Duque ;Leonardo Serna GuarínLeandro L. Lorente Leyva - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Relationship between quality management and customer satisfaction to improve loyalty towards tourist destination(2017) ;Campdesuñer, R.P. ;Vidal, G.G. ;Rodríguez, A.S.Vivar, R.M. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, OPTIMIZATION OF THE USE OF THE BUDGET IN THE QUALITY IMPROVEMENT PROCESS IN A HIGHER EDUCATION INSTITUTION IN ECUADOR(2023) ;Pérez-Campdesuñer, R. ;Sánchez-Rodríguez, A. ;Noda-Hernández, M. ;García-Vidal, G.Martínez-Vivar, R. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, International Journal of Business and Management Science(2017) ;Vidal, G.G. ;Campdesuñer, R.P. ;Rodríguez, A.S.Vivar, R.M. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Tacit Networks as Informal Relational Logistics Support: Configurational Paths to Supply Chain Resilience in Ecuadorian Micro and Small Enterprises(MDPI AG, 2026-07-21); ;Guzmán-Vilar, Laritza; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A 3D Printed, Bionic Hand Powered by EMG Signals and Controlled by an Online Neural Network(MDPI AG, 2023-06-14) ;Karla Avilés-Mendoza ;Neil George Gaibor-León ;Víctor Asanza ;Leandro L. Lorente-LeyvaDiego H. Peluffo-Ordóñez<jats:p>About 8% of the Ecuadorian population suffers some type of amputation of upper or lower limbs. Due to the high cost of a prosthesis and the fact that the salary of an average worker in the country reached 248 USD in August 2021, they experience a great labor disadvantage and only 17% of them are employed. Thanks to advances in 3D printing and the accessibility of bioelectric sensors, it is now possible to create economically accessible proposals. This work proposes the design of a hand prosthesis that uses electromyography (EMG) signals and neural networks for real-time control. The integrated system has a mechanical and electronic design, and the latter integrates artificial intelligence for control. To train the algorithm, an experimental methodology was developed to record muscle activity in upper extremities associated with specific tasks, using three EMG surface sensors. These data were used to train a five-layer neural network. the trained model was compressed and exported using TensorflowLite. The prosthesis consisted of a gripper and a pivot base, which were designed in Fusion 360 considering the movement restrictions and the maximum loads. It was actuated in real time thanks to the design of an electronic circuit that used an ESP32 development board, which was responsible for recording, processing and classifying the EMG signals associated with a motor intention, and to actuate the hand prosthesis. As a result of this work, a database with 60 electromyographic activity records from three tasks was released. The classification algorithm was able to detect the three muscle tasks with an accuracy of 78.67% and a response time of 80 ms. Finally, the 3D printed prosthesis was able to support a weight of 500 g with a safety factor equal to 15.</jats:p>Scopus© Citations 15 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Entrepreneurial leadership in SMEs: perceptions of owner – managers vs. employees(Polish Academy of Sciences Chancellery, 2019-06-28); ; ; Scopus© Citations 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Mitsubishi RV-2AJ Robot Controled by Electromyographic Signals(IEEE, 2019-11) ;José Agurto ;Vladimir Bonilla ;Marcelo Moya ;Guillermo Mosquera Canchingre
