Florida Polytechnic University

About: Florida Polytechnic University is a education organization based out in Lakeland, Florida, United States. It is known for research contribution in the topics: Computer science & Catalysis. The organization has 302 authors who have published 538 publications receiving 6549 citations. The organization is also known as: Florida Poly.

A Control-Based Modeling Approach for Simulating Reaction to Stress Interventions

Abstract: A recent study showed that around 77% of the US population experiences regularly physiological symptoms of stress such as sleep deprivation, fatigue, and migraines and 73% psychological symptoms such anxiety, angry, and lack of focus. Thus, psychological stress remains an important issue of public health. In this paper, we propose a dynamical system based on control theory for simulating and testing the human reaction to stress interventions. We use the well-known analogy of a fluid reservoir or tank to model the user’s accumulation of stress. In this model, inputs correspond to stressors which increase the level of fluid, and the outputs correspond to interventions which release stress and drain the tank. Thus, we tackle the problem keeping a user’s healthy stress level by using a fuzzy logic approach. Through several examples and extensive simulations, we evaluate the performance of our proposed mechanism.

A Robotic System for Elderly Care and Monitoring using Human Robot Interaction

Abstract: Human-Robot Interaction is an emerging field in the area of robotics and growth in this field finds application in several areas of the society. In this paper an initial progress of the design of a robotic system for elderly care is proposed. The paper describes the basic architecture of this proposed system and presents an initial implementation of this robot. This is a work in progress, and the robotic system will be updated and developed as the research progresses when more sensors and other components are interfaced providing more functionalities to the robot. Also, another goal of the project is contribution in undergraduate electrical and computer engineering education where students understand and learn to work on both hardware and software aspects in the design of an assistive robotic system.

Enabling Smart Cities through V2X Communication

Abstract: This paper provides a framework where autonomous vehicles (AV) enable better Smart Cities. Large amounts of data are constantly collected from AVs. To manage the constant influx of data, a real-time data model is proposed. To demonstrate how the database works, four use cases have been introduced as follows: (1) Detecting traffic congestion (2) Identifying empty parking spots (3) Determining weather conditions for a specific location, and (4) Detecting objects or dead animals on the road. The proposed data model will enable real-time data-driven decision-making. The framework can be easily expanded to include other use cases in the future.

Conceptual Framework for Stress and Comfort Enhancement using Fuzzy Controller

Abstract: Biomonitoring devices have considerably improved on their elemental components, most notably in heart rate monitoring and estimation of caloric expenditures. This work aims to make use of readily available biomonitoring technologies and explore the untapped potential of these devices in meeting the needs of professional workers, such as astronauts, who are subjected to consistently special conditions in their working environment. We proposed and developed Smart Sensory Skin (S3) platform to monitor users’ health in real-time and providing measures to improve their immediate conditions with enhanced comfort units. Our newly developed computational algorithm will sense and respond to the person’s stress level in real-time and adjust the environmental factors such as temperature, and oxygen level. The closed-loop architecture of the proposed framework improves the comfort level of users and consequently leads to better performance under critical working conditions such as during space missions. Our demonstration of the proposed concept includes a fuzzy comfort enhancer that collects sensory information from a microcontroller which consequently issues commands to control the operation of a secondary device, such as an HVAC control system.

Development of Virtual Skill Trainers and Their Validation Study Analysis Using Machine Learning

Abstract: Minimally invasive skills assessment is important in developing competent surgical simulators and executing reliable skills evaluation [9]. Arthroscopy and Laparoscopy surgeries are considered Minimally Invasive Surgeries (MIS). In MIS, the surgeon operates through small incisions with specialized narrow instruments, fiberoptic lights, and a monitor. Arthroscopy surgery is used to diagnose and treat joints problems, and Laparoscopic procedures are performed on the abdominal cavity. Due to non-natural hand-eye coordination, narrow field-of-view, and limited instrument control, MIS training is challenging to master. We are analyzing two simulators' data, Virtual Arthroscopic Tear Diagnosis and Evaluation Platform (VATDEP) and Gentleness Simulator. Both simulators went through the validation studies with human subjects. We recorded simulation data during the validation studies, such as tool motion, position, and task time. Recorded data went through the data preprocessing; after the data cleaning, we extracted the recoded data features and normalized them. Normalized features were used to input various machine learning algorithms, including K-nearest neighbor (KNN), Support vector machine (SVM), and Logistic regression (LR). The average accuracy was evaluated through k-fold cross-validation. The proposed methods validated using 10 subjects (5 experts, 5 novices) for the VATDEP simulator. 23 subjects (4 experts and 19 novices) for the Gentleness Simulator. The result shows a significant difference between the expert and novice population with the p