TFG: DEVELOPMENT OF ALGORITHMS FOR THE ACTIVITIES CHARACTERIZATION USING WIRELESS NETWORKS ON THE BODY

In this final project it is done a simple prototype, not complex in order not to overload the packet network or the computational part, of a sensor network, which communicating through wireless body area network (WBAN) are able to characterize daily activities. The nodes used were the Adafruit HUZZAH32 from the company Adafruit, it’s a System on Chip, which incorporates a Wi-Fi module that has been used for the communication between devices.

Firstly, an analysis has been done of the available system. On the one hand, an analysis of the devices and on the other hand a study of one possible characterization from data already collected.

In a second phase, the software of the devices has been modified to create the sensor network and to communicate with each other. For this purpose, the Wi-Fi module of the devices was used, after which, once they were connected, a series of experiments were carried out for different scenarios. With these experiments it has been possible to set thresholds for the development of the final classification algorithm.

Finally, in a third phase, the different tests have been exposed according to the algorithm performed in the second phase.

The results obtained have shown that it is a valid algorithm for the characterization of activities. In addition, an accelerometer has been included to differentiate more activities.

TFG: Design and development of wireless sensorization system of a low-cost robotic arm

In the past the last few years, we have observed that new technologies have been improving the quality of life of all people, especially those who have difficulties in their daily lives. An example of this is prosthesis, which offers autonomy to those who need it, recovering part of the lost mobility.

This End of Degree project intends to carry out the sensorization of a wireless robotic arm. The objective of this project is to obtain information on the movement of the prosthesis and to analyse its behavior to improve the functioning of future prostheses, in such a way that it is as similar as possible to a human arm. We have specially focused on the movement of the wrist and the pressure exerted by the index finger and thumb.

Firstly, a previous study was carried out where we analysed the different angles of wrist rotation and their amplitude. Also, we studied the different ways that the hand makes to apply pressure to an object. On the other hand, we made a study of the different prostheses that exist today, separating them according to their mobility, to choose which was the robotic arm that better adapted to our study. Then, all the pieces of that arm were printed in a 3D printer to make its assembly.

Once the previous study has been carried out, the selection of sensors has been made. To do this, we made a small analysis of the different procedures that use these sensors to obtain the desired measurement. After this, a software has been created to obtain these measurements with the aim of being able to be interpreted by the user, through a graphic interface. A demo represents the movement of a human arm through the data provided by the sensor, as you can see in the figure above. The other demo is in charge of symbolizing through colors the different force exerted by the thumb and index finger.

Finally, different tests have been carried out to analyse the movement of the wrist and the pressure  exerted  by  the  fingers  according  to  the  different  positions  of  the  arm  and  using different forces.

TFM: DESIGN AND IMPLEMENTATION OF NODES FOR CONTINUOUS MONITORING OF STRUCTURES BASED ON MEMS ACCELEROMETERS AND POWERED BY SOLAR ENERGY

Monitoring of large structures, such as buildings or bridges, is a very important task and must be done constantly, due to the danger that can lead to a sudden failure of these. These failures can cause a large number of damages, not only material, but also human losses.

This project aims to design and implement a system that is capable of monitoring the vibrations of a certain place and must also be energetically self-sufficient. For this, the main purpose is to implement a node of this type based on a MEMS accelerometer and powered by solar energy and batteries. The developed monitoring node must be a low power system because it must be able to work autonomously for long periods of time. This will be achieved through the implementation of a power system based on an external battery recharged by solar energy. For the measurement part, accelerometer data will be collected every so often and stored on an SD card for later reference.

The B105 Laboratory has several types of PCBs that have different modules needed to carry out this project (accelerometers, battery management, SD card …). For the development of the hardware it was decided to take advantage of the PCBs already designed. The modules and components to be used were chosen and subsequently welded with two different techniques: manual and by oven.

The software was programmed in C language and it was decided to perform 3 different implementations: first, software was designed on bare machine to check the correct functioning of the measurement module; Later software with operating system was developed to optimize the performance of the system; Finally, tests were performed measuring vibrations with the accelerometer and stored on the SD card to obtain final results and conclusions.