A sensor technology survey for a stress aware trading process

The role of the global economy is fundamentally important to our daily lives. The stock markets reflect the state of the economy on a daily basis. Traders are the workers within the stock markets who deal with numbers, statistics, company analysis, news and many other factors which influence the economy in real time. However, whilst making significant decisions within their workplace, traders must also deal with their own emotions. In fact, traders have one of the most stressful professional occupations. This survey merges current knowledge about stress effects and sensor technology by reviewing, comparing, and highlighting relevant existing research and commercial products that are available on the market. This assessment is made in order to establish how sensor technology can support traders to avoid poor decision making during the trading process. The purpose of this article is: 1) to review the studies about the impact of stress on the decision making process and on biological stress parameters that are applied in sensor design; 2) to compare different ways to measure stress by using sensors currently available in the market according to basic biometric principles under trading context; and 3) to suggest new directions in the use of sensor technology in stock markets

Self-aware trader: a new approach to safer trading

Traders are required to work in the financial market with highly complex information and to perform efficiently under high levels of psychological pressure. Multiple disciplines, from programs with artificial intelligence to complex mathematical functions, are used to help traders in their effort to maximize profits. However, an essential problem not yet considered in this rapidly evolving environment is that traders are not supported to adequately manage how stress influences their decisions. This paper takes into consideration the negative influences of stress on individuals and proposes a system designed to support traders by providing them with information that can reduce the likelihood of poor decision-making. The system has been designed considering both technical and physiological aspects to make information available in a suitable way. Biometric sensors are used to collect data associated with stress, a software platform then analyses this information and displays it to the trader. The resulting system is capable of making individual traders, as well as teams of traders, self-aware of their levels of stress. The system has been tested in real environments and the results provide evidence that self-aware traders benefit from the system by reducing risky decision-making

New methods for stress assessment and monitoring at the workplace

The topic of stress is nowadays a very important one, not only in research but on social life in general. People are increasingly aware of this problem and its consequences at several levels: health, social life, work, quality of life, etc. This resulted in a significant increase in the search for devices and applications to measure and manage stress in real-time. Recent technological and scientific evolution fosters this interest with the development of new methods and approaches. In this paper we survey these new methods for stress assessment, focusing especially on those that are suited for the workplace: one of today’s major sources of stress. We contrast them with more traditional methods and compare them between themselves, evaluating nine characteristics. Given the diversity of methods that exist nowadays, this work facilitates the stakeholders’ decision towards which one to use, based on how much their organization values aspects such as privacy, accuracy, cost-effectiveness or intrusivenes

New methods for stress assessment and monitoring at the workplace

The topic of stress is nowadays a very important one, not only in research but on social life in general. People are increasingly aware of this problem and its consequences at several levels: health, social life, work, quality of life, etc. This resulted in a significant increase in the search for devices and applications to measure and manage stress in real-time. Recent technological and scientific evolution fosters this interest with the development of new methods and approaches. In this paper we survey these new methods for stress assessment, focusing especially on those that are suited for the workplace: one of today’s major sources of stress. We contrast them with more traditional methods and compare them between themselves, evaluating nine characteristics. Given the diversity of methods that exist nowadays, this work facilitates the stakeholders’ decision towards which one to use, based on how much their organization values aspects such as privacy, accuracy, cost-effectiveness or intrusivenes

Diseño de una red con tecnología sensor Cloud aplicada en prevención de accidentes de tránsito

La red con tecnología sensor cloud para prevención de accidentes de tránsito diseñada puede ser aplicada en el entorno de monitoreo vial por las entidades que se encargan del control y monitoreo de la seguridad vial, cuyo objetivo es minimizar la ocurrencia de accidentes de tránsito que sean ocasionadas por factores emocionales del conductor, como lo son el estrés y el cansancio; tales variables emocionales pueden ser determinadas mediante un algoritmo que evalúa variables como la temperatura, equilibrio (sensor de mercurio) y datos de una cámara de video (expresiones faciales), que mediante algoritmos de procesamiento implementados en una plataforma cloud computing permiten la determinación de emociones del conductor y seguidamente la toma de decisiones para activar una alarma o la visualización de un mensaje en una pantalla instalada en el vehículo para que el conductor tome las acciones necesarias que permitan precautelar su vida y la de sus pasajeros; mejorando y optimizando de esta manera los sistemas de monitoreo vial. La red de sensores inalámbrica puede ser implementada con tecnología ZigBee o 6LoWPAN, basadas en el estándar IEEE 802.15.4 haciendo posible que los nodos de la red se conecten a la nube mediante su coordinador respectivo, además de un gateway que actúa como interfaz hacia la nube, específicamente hacia una aplicación SaaS que hace uso de toda la información enviada por los sensores para determinar principalmente el estado emocional del conductor. Para la recolección de las mediciones de la red, se utiliza el estándar IEEE 802.15.4, y para el envío de datos del Gateway a la nube se plantea un esquema de publicación/ suscripción con un módulo de gestión de identidad y acceso para control de la seguridad del sistema mediante políticas de acceso determinadas, además de un servidor web que gestiona el almacenamiento. Como parte final de la investigación, se plantean las conclusiones y recomendaciones, en las cuales se exponen los resultados obtenidos de la investigación y las recomendaciones para futuros estudios