This thesis explains structure of skeletal muscles, generation of action potencial and principle of muscle contraction. Further it shows types of electromyographic signal recording and its usage in therapy. Technical aspects of EMG signal and components required for electromyograph assemblage are next topic of this thesis. Another part presents design of simple EMG module for therapeutical application with bluetooth 4.0 interface.

Location Based Services (LBS) are a relatively recent multidisciplinary field which brings together many aspects of the fields of hardware design, digital signal processing (DSP), digital image processing (DIP), algorithm design in mathematics, and systematic implementation. LBS provide indirect location information from a variety of sensors and present these in an understandable and intuitive way to users by employing theories of data science and deep learning. Indoor positioning, which is one of the sub-applications of LBS, has become increasingly important with the development of sensor techniques and smart algorithms. The aim of this thesis is to explore the utilisation of indoor positioning algorithms under complex Non-Line of sight (LOS) environments in order to meet the requirements of both commercial and civil indoor localisation services. This thesis presents specific designs and implementations of solutions for indoor positioning systems from signal processing to positioning algorithms. Recently, with the advent of the protocol for the Bluetooth 4.0 technique, which is also called Bluetooth Low Energy (BLE), researchers have increasingly begun to focus on developing received signal strength (RSS) based indoor localisation systems, as BLE based indoor positioning systems boast the advantages of lower cost and easier deployment condition. At the meantime, information providers of indoor positioning systems are not limited by RSS based sensors. Accelerometer and magnetic field sensors may also being applied for providing positioning information by referring to the users' motion and orientation. With regards to this, both indoor localisation accuracy and positioning system stability can be increased by using hybrid positioning information sources in which these sensors are utilised in tandem. Whereas both RSS based sensors, such as BLE sensors, and other positioning information providers are limited by the fact that positioning information cannot be observed or acquired directly, which can be summarised into the Hidden Markov Mode (HMM). This work conducts a basic survey of indoor positioning systems, which include localisation platforms, using different hardware and different positioning algorithms based on these positioning platforms. By comparing the advantages of different hardware platforms and their corresponding algorithms, a Received Signal Strength Indicator (RSSI) based positioning technique using BLE is selected as the main carrier of the proposed positioning systems in this research. The transmission characteristics of BLE signals are then introduced, and the basic theory of indoor transmission modes is detailed. Two filters, the smooth filter and the wavelet filter are utilised to de-noise the RSSI sequence in order to increase localisation accuracy. The theory behind these two filter types is introduced, and a set of experiments are conducted to compare the performance of these filters. The utilisation of two positioning systems is then introduced. A novel, off-set centroid core localisation algorithm is proposed firstly and the second one is a modified Monte Carlo localisation (MCL) algorithm based system. The first positioning algorithm utilises BLE as a positioning information provider and is implemented with a weighted framework for increasing localisation accuracy and system stability. The MCL algorithm is tailor-made in order to locate users' position in an indoor environment using BLE and data received by sensors locating user position in an indoor environment. The key features in these systems are summarised in the following: the capacity of BLE to compute user position and achieve good adaptability in different environmental conditions, and the compatibility of implementing different information sources into these systems is very high. The contributions of this thesis are as follows: Two different filters were tailor-made for de-nosing the RSSI sequence. By applying these two filters, the localisation error caused by small scale fading is reduced significantly. In addition, the implementation for the two proposed are described. By using the proposed centroid core positioning algorithm in combination with a weighted framework, localisation inaccuracy is no greater than 5 metres under most complex indoor environmental conditions. Furthermore, MCL is modified and tailored for use with BLE and other sensor readings in order to compute user positioning in complex indoor environments. By using sensor readings from BLE beacons and other sensors, the stability and accuracy of the MCL based indoor position system is increased further.

Los grandes avances tecnológicos se han producido una serie de artefactos electrónicos que mejoran la calidad de vida de la personas. Estos artefactos pueden visualizarse en el hogar como los electrodomésticos, equipos de entretenimiento o dispositivos de seguridad. Actualmente, existe una tecnología llamada domótica que consiste en automatizar los artefactos eléctricos del hogar. Esta tecnología presenta varias soluciones en el mundo, donde cada una tiene distintas maneras de implementación y propósitos. Por eso, los precios de los productos generados por estas soluciones son considerablemente altos para el mercado peruano y latinoamericano. Asimismo, estas soluciones presentan una carencia de soporte para estos mercados. Por estas razones, este artículo propone la implementación de una solución de domótica que utilizando un modelo definido basado en las mejores prácticas del mercado actual se pueda generar una solución de bajo costo, de gran alcance y que sea económicamente accesible para el mercado peruano y latinoamericano. Para esto se estudiará los actuales métodos de comunicación para la creación de los dispositivos de domótica. Además, se evaluará las soluciones existentes de domótica, obteniendo el conocimiento de sus problemáticas, resultados y recomendaciones para poder tener una base con la cual sustentar las mejoras y ventajas de la propuesta a desarrollar.

近年來越來越多虛實整合技術不斷地湧出，像是電影阿凡達或虛實互動型態的表演。這樣的表演會根據事先預錄好的虛擬角色進行演出，但要成功地演出需要演員們不斷的練習。另外,許多電影利用攝影機捕捉人體姿態來與虛擬角色互動，但此方法受限於燈光環境以及障礙物。 此篇論文運用穿戴式裝置與新一代無線網路藍芽4.0,提出即時追蹤技術套用於這類表演,可使得演出更加豐富並且能即興創作。然而，目前受限於穿戴式平台上的藍芽訊號強度更新頻率每秒只有5至10次且傳輸容量有限，所以本篇論文結合體態感測裝置輔助無線網路藍芽4.0,提升對穿戴者的即時追蹤能力。實驗結果與真實位置只有0.3至0.5秒的延遲時間,並在校內進行兩場互動式展演作驗證成果。未來期許可以將此技術運用於多人展演場，讓更多使用者可以互動體驗。 / Recently, more and more interactive performance technologies appear such as Avatar or virtual-character integrated art perform. Such performs are based on pre-made animations and physics simulations. However, this kind of shows need a lot of practice, and it is impossible that audience or performers play with or interact with the virtual characters. In addition, many moviemakers use high quality cameras to distinguish body postures. Although cameras can record anything with high precision, it is constrained on the light and obstacles of the environments. If we, somehow, can capture the motion of the performers in real time, then we are able to interact with virtual characters and make improvisation possible. This thesis aims to use the wearable sensors and the Received Signal Strength Indication (RSSI) of BLE to track in real-time. However, the update rate of RSSI is limited to 5~10 per second. This thesis proposed a tracking technique which combines with wearable motion sensors to assist BLE localization. The tracking lag can be reduced to only 0.3~0.5 seconds, and also real performance was experimented in the campus. In the future, we hope to use this technique on interactive performance with many people in different places.

Today more and more objects in our daily lives are getting connected to the Internet. This phenomenon is called the Internet of Things and is a way for physical things such as cars, buildings or even bus stations to get access and communicate with other objects using the Internet. The problem is that for every Internet of Things device, an application is often needed in order to communicate with these devices. Developing mobile applications in a separate programming language for each operating system can be an expensive and time consuming task. In this thesis, we implement and evaluate a cross-platform mobile solution for users to interact with smart things using the advantages of web technologies. To compare previous findings in this area, two literature reviews has been performed to find out which is the state of the art on cross-platform mobile development frameworks and smart-things technologies used for interacting with physical objects. The result is a mobile application developed using PhoneGap and jQuery Mobile that interacts with iBeacons, where students inside a university building can get directions and schedules for different rooms. The application received good results from a couple of usability studies, and performed well when measuring its performance. The outcome shows that web technologies that exist today are a viable solution to native mobile applications in terms of interacting with smart things such as tagging technologies.

近年來穿戴相關發展越來越蓬勃，特別是在虛擬-實境的綜合藝術表 演中，例如: 電影「猩球崛起」。然而大部分虛擬實境的綜合內容是 基於腳本預先錄製好的，而且演員需要大量的練習，使表演能夠完美 演出。此外，如果我們想要在兩人的相對方向定位上有特殊效果，那 麼預先錄製的的方法是不合適的。解決這個問題的一個方法是，使用 高品質的相機偵測身體的姿勢或位置。但是精准度常會受限於光線或 是障礙物。 本篇論文中，我們提出一個即時相對方向定位方法，這方法使用無線 可穿戴式設備解決這個問題。我們結合BLE 所發送的Received Signal Strength Indicator (RSSI)與IMU 感測器資訊，來追蹤兩個表演者的相對方向定位的位置。但是RSSI 資料有波動與不穩定性、IMU 會引起 累積的誤差。我們發明了「可靠程度」的RSSI 量測概念，並且把這 概念運用在IMU 定期校正上。我們實驗的情況是，兩個人的舞蹈來 驗證準確性，結果是令人滿意的。我們還使用Unity 來實踐人體骨架， 以便與兩個舞者動作做比較。在未來，我們開發的方案可以用於藝術 表演，使內容更豐富，更具互動性。 / In recent years, wearable-related applications are flourishing, especially in virtual-real integrated art performance, such as “Rise of the Planet of the Apes”. However, most of the virtual-real integrated contents are pre-recorded based on the script, and the performer needs a lot of practice to make the integration perfect. Moreover, if we want to make special effect based on the relative directional positions of two performers, the pre-recorded approach is not suitable. One way to tackle this problem is to use the high-quality camera to detect the body posture or position.But the accuracy is usually limited in light intensity or obstacles. In this thesis, we propose a real-time relative directional positioning approach using wireless wearable devices to solve this problem. We use Received Signal Strength Indicator (RSSI) of BLE, combined with IMU sensors to track two performers’ relative directional positions. The RSSI fluctuates and the IMU causes accumulated errors. We invent the concept of “reliable level” of RSSI measures to periodically correct the IMU errors. We experiment the scenario of two-person dance to validate the accuracy, and the result is satisfactory. We also use Unity to real-time render the human skeleton for comparison with the two dancers’ motion.In the future, our developed scheme can be used in the art performance to make the content richer and more interactive.