Zapata, Mireya
Preferred name
Zapata, Mireya
Main Affiliation
Quito
Email
mireyazapata@uti.edu.ec
ORCID
0000-0003-3382-2724
Scopus Author ID
56818703100
41 results
Now showing 1 - 10 of 41
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, Real-Time Industrial Risk Mitigation through an IIoT-Based Acoustic Alert System with Embedded Edge Processing and Remote Monitoring(Springer Nature Switzerland, 2026) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Using Predictive Modeling to Assess Social Media's Impact on Parental Well-Being: A Pilot StudySocial media is part of daily life, facilitating communication, entertainment, and immediate access to information. However, it can negatively affect personal well-being and contribute to the development of addictive behavior. The objective of this paper is to examine how social media users in the economically productive age group of 36 to 56 years are affected by these platforms, and how machine learning (ML) and app development can be used to mitigate the impacts of these dopamine-stimulated behaviors. For this purpose, an empirical study using the Social Media Disorder Test showed that 37.5% of the sample had prolonged usage. To aid in the solution, an app was developed that uses machine learning (ML) to classify addiction levels into 8 categories across 3 social media apps. The app monitors usage in real time and issues alerts for excessive consumption patterns to reduce digital dependence. The results show real patterns of moderate addiction among users. It also seeks to raise awareness of social media use so they can set limits and reduce the impact of their use - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Low-Cost Interfaces and Technological Accessibility: A Human–Computer Interaction Approach for the Inclusion of Individuals with Motor Disabilities(Springer Nature Switzerland, 2026); ; ; ; Cerebral palsy (CP) is a neurological disorder of prenatal or perinatal origin that affects motor control, posture, and frequently speech, thereby limiting autonomy and social participation among individuals who experience it. During the transition to adulthood, these limitations tend to intensify, highlighting the need for assistive technologies (AT) that effectively address real-world contexts of use. However, the high cost and limited adaptability of many existing solutions restrict their adoption, particularly in low- and middle-income countries. This study is situated within the field of Human–Computer Interaction (HCI) and aims to evaluate low-cost input devices based on principles of accessibility, ergonomics, and usability, to improve the work performance of individuals with motor disabilities. A qualitative methodology was employed, based on the think-aloud technique, applied to a case study involving an adult with cerebral palsy who interacted with three devices: a conventional trackpad, a MAKEY MAKEY-based interface, and a wireless keyboard with an integrated touchpad. The results indicate that, although the trackpad allows for a degree of progressive adaptation, it presents limitations in tasks requiring bimanual coordination. The MAKEY MAKEY interface provides greater discrete control but demands high levels of coordination and generates fatigue due to its physical configuration. In contrast, the wireless keyboard with an integrated touchpad emerges as the most efficient and ergonomic alternative, as it distributes functions between both hands and reduces physical effort. It is concluded that the adaptation of mass-market consumer technologies, under a user-centered design approach, can offer accessible, functional, and sustainable solutions for the digital inclusion of individuals with motor disabilities. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Evidence-Driven Reproducibility Audit for Asset-Level PV Assessment in Distribution Networks(MDPI AG, 2026-09-19); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, nanoHEENS: Biomimetic Near-Memory-Computing 16-Core SIMD Processor Node for Evolutive Spiking Neural Networks(IEEE, 2026-05-24); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Low-Cost IoT System with Containerized AI and Telegram Bot for Real-Time Air Quality Risk Communication and Preventive Behavior Change(Springer Nature Switzerland, 2026); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Learning Through Play: Implementing an Educational Escape Room for Teaching Traditions and Culture(2025); ; ; 21 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Planning and Management of Fiber Optic Networks Based on a Geographic Information System: A Case in Ecuador(2025); Jorge Álvarez-TelloLean management contributes to pursuit the quality, accessibility and efficiency of healthcare institutions. Its importance of the implementation of lean management in the healthcare sector using different strategies to improve services like: the supply chain in hospitals. In this review was used the model proposed by seuring and gold based on the analyze a sample of articles indexed in Scopus, web of science and also the simulation tool was used to in order to illustrate the approach. After implementation of lean thinking in different hospital in some countries improves the structure, process and outcome of care and management actions and management in healthcare promotes advantages in terms of quality, safety and efficiency of healthcare in hospitals9 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Low-Cost Non-Wearable Fall Detection System Implemented on a Single Board Computer for People in Need of Care(2024); This work aims at proposing an affordable, non-wearable system to detect falls of people in need of care. The proposal uses artificial vision based on deep learning techniques implemented on a Raspberry Pi4 4GB RAM with a High-Definition IR-CUT camera. The CNN architecture classifies detected people into five classes: fallen, crouching, sitting, standing, and lying down. When a fall is detected, the system sends an alert notification to mobile devices through the Telegram instant messaging platform. The system was evaluated considering real daily indoor activities under different conditions: outfit, lightning, and distance from camera. Results show a good trade-off between performance and cost of the system. Obtained performance metrics are: precision of 96.4%, specificity of 96.6%, accuracy of 94.8%, and sensitivity of 93.1%. Regarding privacy concerns, even though this system uses a camera, the video is not recorded or monitored by anyone, and pictures are only sent in case of fall detection. This work can contribute to reducing the fatal consequences of falls in people in need of care by providing them with prompt attention. Such a low-cost solution would be desirable, particularly in developing countries with limited or no medical alert systems and few resources.11 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimizing Agriculture with LoRaWAN and HCI: A Smart Approach to Sustainable Farming(2025); ; 24