Ricardo Augusto Rabelo Oliveira

Building Wearables for Geology: An Operating System Approach

Wearable devices have emerged in the last years with new applications that provide user convenience. Healthcare, sports, safety are some examples of applications embedded in thousands of devices released in the last years. Wearable operating systems with different focus emerged together with wearable applications in order to make adjustments and optimizations of software and hardware. This paper presents a wearable operating systems discussion and shows the current challenges and wearable operating system inuence. We developed a wearable appliance for geology. The wearable contains a Head Mounted Display (HMD) assembled with Google Cardboard API and sensors connected to developments boards. For each system component was used different operating systems according to hardware and software available. The results indicate some trends for wearable operating systems.

Towards a Wearable Device for Monitoring Ecological Environments

Wearable devices have emerging in last years with diverse applications for provide user convenience. Health care, sports, safety are some examples of areas in which wearable devices have been applied. This paper describes an overview about wearable architectures found in the literature and presents a novel wearable for monitoring ecological environments. The wearable is composed of a Head-UP Display (HUD) assembled with Google Cardboard API and sensors connected to a development board. Our wearable device provides several functionalities such as distance measurement to objects and weather conditions monitoring. Camera and green lasers combined with a digital image processing algorithm are used to measure the distance to objects. Our system is evaluated in different development boards.

Adaptive configuration of wpans and wlans communications using multi-scale statistical process control

Quality of communication in wireless systems is heavily dependent on several factors including interference on the radio signal and mobility of the communicating devices. However, it is very difficult to assess the transmitted signal and predict when a bad quality signal is being caused by interference or mobility. This work presents a new method for monitoring and analyzing wireless communications on two types of networks: IEEE 802.11 and Bluetooth. This technique uses a multi-scale control chart approach known as MCEWMA - Moving Centerline Exponential Weighted Moving Average - associated with multi-resolution analysis. The implementation of this control chart allows the description of the transmitted signal on each wireless channel with low cost and, more important, it can be used on on-line applications. To prove the efficiency of this method, a simple application was developed and tested and the results proved the efficiency of the proposed method.

Wearable HUD for Ecological Field Research Applications

Wearable devices have emerged in the last years with new applications that provide user convenience. Healthcare, sports, safety are some examples of areas in which wearable devices have been used. This paper overviews wearable architectures found in the literature and presents a novel wearable for monitoring ecological environments. The wearable includes a Head-UP Display (HUD) assembled with Google Cardboard API and sensors connected to a development board. Our wearable device provides several functionalities such as distance measurement to objects and weather conditions monitoring. Camera and green lasers combined with a digital image processing algorithm are used to measure the distance to objects. We different development boards to build the system.

A Constraint-Driven Assessment of Operating Systems for Wearable Devices

Wearable devices have increasingly become popular in recent years. Devices attached to users body now remotely monitor his daily activities/health. However, some operating systems running on these devices were not initially designed and developed for this purpose, letting them have a poor performance or even requiring to spend more resources or better hardware. This work presents a comparison, driven by specific constraints, between operating systems for wearable devices. Our research raised the key constraints of this context and figured out which operating system has the best performance. Results presented here shows that evaluated operating systems do not have enough performance when considering wearable devices specific constraints, letting us conclude that improvements should be made.

Using Web technologies in assessment of context-aware pervasive/ubiquitous systems: A tourist guide service

An important aspect in the design of pervasive/ubiquitous applications is to evaluate them before their deployment in real scenarios. A possible strategy to assess them is to perform simulations that provide useful insights and results to the application designer. However, the simulation of pervasive/ubiquitous applications and environments has proven to be a considerable challenge for several reasons. For instance, many of the technologies (e.g., hardware and software) required to assess them either do not yet exist or are not momentarily available or accessible in terms of cost and readiness, not to mention other important requirements such as monitoring, communication management and profile/context state tracking of entities in the system. In order to make this process simpler and feasible, we defined a Web assessment tool that provides a simulation approach for ubiquitous environments by using Web technologies such as Asynchronous JavaScript and XML, Web application frameworks and a mapping/location Web service. Using these technologies, we implemented a pervasive service: a tourist guide service. With this tool, we were able to evaluate the proposed service quantitatively by studying the interactions between the users/entities involved, monitor their profile/context states, and track their movements across a predefined map area.

A Multi-Scale Statistical Control Process for Mobility and Interference Identification in IEEE 802.11

The user centric nature of mobile devices is an important issue for enhancing the user experience in a mobile wireless communication. A strategy for improving such experience consists of applying a resource management focused in providing both the user and the application valuable information about the network context. The communication quality in wireless systems heavily depends on several factors, and adjusting the application and/or alerting the user about the network conditions is an important service when managing this type of devices. The quality perceived by the user depends on the network context, which can be defined as the events that have significant impact on the wireless communication. The identification of the wireless channel behavior is necessary for obtaining a context description. Due to intrinsic features at the wireless signal propagation it is difficult to measure and assess the fundamental wireless network context, e.g., predicting when low quality signal is being caused by interference or fading effects. This work presents a new method for user centric management on IEEE 802.11b/g: a strategy for communication survival, focused in improving the user experience. Our proposal uses a multi-scale control chart approach, MCEWMA – Moving Centerline Exponential Weighted Moving Average, associated with multi-resolution analysis using a wavelet transform.

Towards a Low-Cost Augmented Reality Head-Mounted Display with Real-Time Eye Center Location Capability

The real-time detection of eye center location provides valuable information to be used in a wide range of applications such as face alignment, face recognition, human-computer interaction, device control for people with disabilities and users attention detection. Gaze tracking systems is another type of application that uses the eye center location to infer the direction of the users gaze. These systems can be applied to Augmented Reality (AR) Head-Mounted Displays (HMDs) in order to improve the User Experience. This work presents a low-cost AR HMD prototype with real-time eye center location capability. This work also presents an overview of Augmented Reality Head-Mounted Displays and methods for eye center location found in the literature. To assess our AR HMD prototype, we choose a state-of-the-art method for eye center location found in the literature and evaluate its real-time performance in different development boards.

Fast prototyping of an AR HUD based on google cardboard API

A Head-Up Display (HUD) prototype as tool for biologists is introduced in this work. The prototype contains two sensors to climate monitoring, a multi-point laser to infer objects distances and a smartphone to display information for users. CardBoad API has been used as an Augmented Reality platform. The HUD hardware was printed in 3D printer, sensors are connected in an Intel Galileo development board and the data communication is done through Bluetooth technology. Also, this work describes experiences obtained with prototype development.

Examining Developments and Applications of Wearable Devices in Modern Society

Examining Developments and Applications of Wearable Devices in Modern Society is a pivotal reference source for the most innovative research on the expansion of wearable computing and technology. Featuring coverage on a broad range of topics such as stroke monitoring, augmented reality, and cancer detection, this publication is ideally designed for academicians, researchers, and students seeking current research on the challenges and bene ts of the latest wearable devices.