Artificial Vision Algorithms for Socially Assistive Robot Applications: A Review of the Literature

Today, computer vision algorithms are very important for different fields and applications, such as closed-circuit television security, health status monitoring, and recognizing a specific person or object and robotics. Regarding this topic, the present paper deals with a recent review of the literature on computer vision algorithms (recognition and tracking of faces, bodies, and objects) oriented towards socially assistive robot applications. The performance, frames per second (FPS) processing speed, and hardware implemented to run the algorithms are highlighted by comparing the available solutions. Moreover, this paper provides general information for researchers interested in knowing which vision algorithms are available, enabling them to select the one that is most suitable to include in their robotic system applicationsBeca Conacyt Doctorado No de CVU: 64683

Laban Movement Analysis Using a Bayesian Model and Perspective Projections

Human body movements are meant to move a, or some, body parts to a specific location along a certain trajectory. A person observing the movement might be able to recognize it through the spatial pathway alone. Kendon (Kendon, 2004) holds the view that willingly or not, humans, when in co-presence, continuously inform one another about their intentions

Augmented Reality

Augmented Reality (AR) is a natural development from virtual reality (VR), which was developed several decades earlier. AR complements VR in many ways. Due to the advantages of the user being able to see both the real and virtual objects simultaneously, AR is far more intuitive, but it's not completely detached from human factors and other restrictions. AR doesn't consume as much time and effort in the applications because it's not required to construct the entire virtual scene and the environment. In this book, several new and emerging application areas of AR are presented and divided into three sections. The first section contains applications in outdoor and mobile AR, such as construction, restoration, security and surveillance. The second section deals with AR in medical, biological, and human bodies. The third and final section contains a number of new and useful applications in daily living and learning

Aplicación dos produtos de apoio de alta tecnoloxía no desempeño ocupacional das persoas con discapacidade visual: scoping review

[Resumo] Introdución: As persoas con discapacidade visual poden experimentar dificultades na realización de diferentes ocupacións cotiás. A tecnoloxía de apoio (TA) debe actuar coma un facilitador na participación desta poboación en actividades desexadas. Obxectivo: Coñecer se os produtos de apoio de alta tecnoloxía dan resposta ás dificultades no desempeño ocupacional coas que se atopan máis frecuentemente as persoas con discapacidade visual no seu día a día. Metodoloxía: Seguiuse unha metodoloxía de revisión de alcance. A busca bibliográfica foi levada a cabo nas bases de datos CINAHL, PubMed, Scopus e Web of Science. As variables temáticas establecéronse seguindo os compoñentes propostos polo Modelo da Actividade Humana e da Tecnoloxía de Apoio. Para a súa análise empregouse un enfoque mixto. Resultados: Na mostra incluíronse un total de 44 estudos. En moitos casos, non se especificou certa información relativa ás persoas participantes. A TA analizada centrouse principalmente na detección e na evitación de obstáculos, facilitando a mobilidade funcional. Os dispositivos reciben a información mediante sistemas de cámaras para transmitirlla á persoa por son. A TA está deseñada para contextos tanto interiores coma exteriores da vida diaria, e foi testada maiormente en ambientes reais. Conclusión: Os produtos de apoio de alta tecnoloxía están dirixidos principalmente a facilitar a mobilidade funcional, a participación social, e a lectura das persoas con discapacidade visual. En menor medida, abordaron a educación, o deporte e as tarefas do fogar. Así, non se centraron noutras actividades relevantes como a condución ou o emprego.[Resumen] Introducción: Las personas con discapacidad visual pueden experimentan dificultades en la realización de diferentes ocupaciones cotidianas. La tecnología de apoyo (TA) debe actuar como un facilitador en la participación de esta población en actividades deseadas. Objetivo: Conocer si los productos de apoyo de alta tecnología dan respuesta a las dificultades en el desempeño ocupacional con las que se encuentran más frecuentemente las personas con discapacidad visual en su día a día. Metodología: Se siguió una metodología de revisión de alcance. La búsqueda bibliográfica se llevó a cabo en las bases de datos CINAHL, PubMed, Scopus y Web of Science. Las variables temáticas se establecieron siguiendo los componentes propuestos por el Modelo de la Actividad Humana y la Tecnología de Apoyo. Para su análisis se empleó un enfoque mixto. Resultados: En la muestra se incluyeron un total de 44 estudios. En muchos casos, no se especificó cierta información relativa a las personas participantes. La TA analizada se centró principalmente en la detección y evitación de obstáculos, facilitando la movilidad funcional. Los dispositivos reciben la información mediante sistemas de cámaras para transmitírsela a la persona por audio. La TA está diseñada para contextos tanto interiores como exteriores de la vida diaria, y fue testada mayormente en ambientes reales. Conclusión: Los productos de apoyo de alta tecnología están dirigidos principalmente a facilitar la movilidad funcional, la participación social, y la lectura de las personas con discapacidad visual. En menor medida, abordaron la educación, el deporte, o las tareas del hogar. Así, no se centraron en otras actividades relevantes como la conducción o el empleo.[Abstract] Background: People with visual impairment can have difficulties in performing different daily occupations. Assistive technology (AT) should be an enabler in the participation of these population’s desired activities. Aim: To know if high-tech assistive devices respond to difficulties in the occupational performance that people with visual impairment most frequently experiment in their day-to-day lives. Methodology: A methodology of Scoping Review was used. The bibliographic search was carried out in the databases CINAHL, PubMed, Scopus y Web of Science. Thematic variables were established following the components proposed by the Human Activity Assistive Technology Model. For their analyses, a mixed methods approach was used. Results: A total of 44 studies were included in the sample. In many cases, certain information regarding the participants was not specified. The analyzed AT focused mainly on the detection and avoidance of obstacles, facilitating functional mobility. The devices receive the information through camera systems to transmit it to the person by audio. The AT is designed for indoor and outdoor contexts of everyday life, and it was mostly tested in real-world environments. Conclusion: The high-tech assistive devices are primarily aimed at facilitating the functional mobility, social participation, and reading of people with visual impairment. To a lesser extent, they addressed education, sports, or housework. However, they did not focus on other relevant activities such as driving or working.Traballo fin de mestrado (UDC.FCS). Asistencia e investigación sanitaria. Especialidade en Reeducación Funcional, Autonomía Persoal e Calidade de Vida. Curso 2020-202

Detecting head movement using gyroscope data collected via in-ear wearables

Abstract. Head movement is considered as an effective, natural, and simple method to determine the pointing towards an object. Head movement detection technology has significant potentiality in diverse field of applications and studies in this field verify such claim. The application includes fields like users interaction with computers, controlling many devices externally, power wheelchair operation, detecting drivers’ drowsiness while they drive, video surveillance system, and many more. Due to the diversity in application, the method of detecting head movement is also wide-ranging. A number of approaches such as acoustic-based, video-based, computer-vision based, inertial sensor data based head movement detection methods have been introduced by researchers over the years. In order to generate inertial sensor data, various types of wearables are available for example wrist band, smart watch, head-mounted device, and so on. For this thesis, eSense — a representative earable device — that has built-in inertial sensor to generate gyroscope data is employed. This eSense device is a True Wireless Stereo (TWS) earbud. It is augmented with some key equipment such as a 6-axis inertial motion unit, a microphone, and dual mode Bluetooth (Bluetooth Classic and Bluetooth Low Energy). Features are extracted from gyroscope data collected via eSense device. Subsequently, four machine learning models — Random Forest (RF), Support Vector Machine (SVM), Naïve Bayes, and Perceptron — are applied aiming to detect head movement. The performance of these models is evaluated by four different evaluation metrics such as Accuracy, Precision, Recall, and F1 score. Result shows that machine learning models that have been applied in this thesis are able to detect head movement. Comparing the performance of all these machine learning models, Random Forest performs better than others, it is able to detect head movement with approximately 77% accuracy. The accuracy rate of other three models such as Support Vector Machine, Naïve Bayes, and Perceptron is close to each other, where these models detect head movement with about 42%, 40%, and 39% accuracy, respectively. Besides, the result of other evaluation metrics like Precision, Recall, and F1 score verifies that using these machine learning models, different head direction such as left, right, or straight can be detected

Proceedings of the 6th international conference on disability, virtual reality and associated technologies (ICDVRAT 2006)

The proceedings of the conferenc