The main aim of the project is to develop an algorithm which will classify the activity performed by a human who is carrying a smart phone. The day to day life made humans very busy at work and during daily activities, mostly elderly people who are at home have an important need to monitor their activity by others when they are alone, if they are inactive for a long time without movement, or in some situations like if they have fallen down, became unconscious for sometime or seized with a cardiac arrest etc… will help the observer to know the state of activity of person being monitored. In this project we develop an algorithm to know the activity of a person using accelerometer available in Smartphone. We have extracted the Smartphone accelerometer data using an application called accelerometer data logger version 1.0 available in Smartphone market and have processed the data in Matlab for classifying the different activities of human being into static and dynamic activity, if the activity is dynamic then further classification into walking or running is performed with the algorithm. We implemented smoothening filters for data analysis and statistical techniques like standard deviation, mean and signal magnitude analysis for activity classification. This classification algorithm will let us know the type of activity either static or dynamic and then classify the position of the user, such as walking, running or ideal, which can provide useful information for the observer who is monitoring the activities of wearer, and which will help the wearer for his daily living. To bring out the extensive use of algorithm and to provide valuable feedback for wearer regarding his activities, energy spent by user during the activities was calculated at a given time using regression methods and was implemented in the algorithm. The developed model was able to estimate the energy spent by the user, the observations recorded were almost similar to the treadmill data which is taken as a standard for our model and the mean error is not more than ±2 for 30 observations. The final results when compared with the standard model was proved to be 93 % accurate on average of 30 subjects data which is used for verifying the algorithm developed. With these set of results we have come to a conclusion that algorithm can be easily implemented in a real time Smartphone application with low false predictions and can be implemented with low computational cost and fast real-time response. In future our classification algorithm can also be used in military applications where one can know what the soldier is doing without actually seeing him and additionally it can be proved as a support system in athlete’s health monitoring and training. / I denna modell har vi utvecklat en algoritm för aktivitetsklassificeringoch energiförbrukning uppskattning , vilket hjälper oss i övervakningen daglig mänsklig aktivitet med större noggrannhet . Resultaten valideras med standard energiförbrukning teknik och aktivitetsklassificeringsvideoobservationer. Vi vill att denna modell ska integreras i smarta mobiltelefoner för att ge slutanvändaren en vänlig atmosfär utan att lägga några komplicerade funktioner för hantering av utrustningen . Denna modell är mycket användbart i klinisk uppföljning av patienterna , kommer det att hjälpa oss att övervaka gamla , sjuka och utvecklingsstörda personens aktivitetsidentifiering och hjälper oss i nära övervakning av patienterna men fysiskt att vara borta från dem . Våra bärbara MEMS baserade treaxlig accelerometer system baserat smartphone kompatibel algoritm tillsammans med andra fysiologiska övervakningsparametrarkommer att ge korrekt övervakning rörelse och energiförbrukning uppskattning för klinisk analys . Denna modell är användbar för analys och övervakning av grupp -och enskilda individer , vilket kommer att leda till att spåra deras rörelser och en framgångsrik räddningsaktion för att rädda dem från dödliga sjukdomar och förebygga risker när de är skadade . Framtida arbete kommer att vara kontinuerlig övervakning av ämnen enskild aktivitet tillsammans med gruppaktivitet . Identifiera hållning övergång av olika aktiviteter i en kort tid som att springa till sittande , sittande till stående , står att krypa etc. / 0091-7660885577

In the form of teacher didactical design research, this work addresses a didactical issue encountered during physics teaching in a Swedish upper secondary school. A need for renewed practical laboratory work related to Newtonian mechanics is met by proposing and designing an activity based on high- speed photography using the nowadays omnipresent smartphone, thus bringing new technology into the classroom. The activity – video analysis of the collision physics of football kicks – is designed and evaluated by following a didactical design cycle. The work elaborates on how the proposed laboratory activity relates to the potential and complications of experimental activities in science education, as described in the vast literature on the topic. It is argued that the use of smartphones constitutes an interesting use of new technology for addressing known problems of practical work. Of particular interest is that smartphones offer a way to bridge the gap between the everyday life of students and the world of physics experiments (smartphones are powerful pocket laboratories). The use of smartphones also avoids using unfamiliar laboratory equipment that is known to hinder focus on intended content, while at the same time exploring a powerful tool for data acquisition and analysis. Overall, the use of smartphones (and computers) in this manner can be seen as the result of applying Occam’s razor to didactics: only familiar and readily available instrumentation is used, and skills learned (movie handling and image analysis) are all educationally worthwhile. Although the activity was judged successful, a systematic investigation of learning outcome was out of scope. This means that no strong conclusions can be drawn based on this limited work. Nonetheless, the smartphone activity was well received by the students and should constitute a useful addition to the set of instructional approaches, especially since variation is known to benefit learning. The main failure of the design was an overestimation of student prior knowledge on motion physics (and its application to image data). As a consequence, the activity took required more time and effort than originally anticipated. No severe pitfalls of smartphone usage were identified, but it should be noted that the proposed activity – with its lack of well-defined results due to variations in kick strength – requires that the teacher is capable of efficiently analysing multiple student films (avoiding the feedback process to become overwhelmingly time consuming). If not all student films are evaluated, the feedback to the students may become of low quality, and misconceptions may pass under the radar. On the other hand, given that programming from 2018 will become compulsory, an interesting development of the activity would be to include handling of images and videos using a high-level programming language like Python.

Nowadays, Third Generation (3G) mobile phones equipped with powerful hardware are becoming popular and dominating the market of cellular com-munication systems. Features such as music and video players, in-built Global Positioning System (GPS) receivers, navigation maps, Internet connectivity and high resolution cameras has converted mobile phones into so called Smartphones. With the increase in applications and services, limitations on energy consumption are also increasing. Therefore, it is more im-portant for manufacturers to nd e ective means of increasing battery life of mobile phones, as the mobile device itself is energy consuming and longer operational times are demanded by customers. Good energy mangement in mobile phones requires a good understanding of the energy usage in mobile phones. To this end, this thesis report presents the results of power and energy consumption measurements conducted on available Smartphones. The services under investigation includes basic Smartphone functionalities and few Internet services are studied and conclusions were drawn. This paper presents a cost e ective methodology for reliable measurements of energy on Smartphones. It also examines the e ect of operating systems on en-ergy consumption in mobile phones and reports less energy consumption for Android supported phones. The energy consumption of these Smartphones with respect to various applications has been studied and related to Quality of Experience of users'. Based on the results conclusions were drawn. / This Thesis will serve as a guide to manufacturers and Users of smartphones while choosing smartphones and designing energy-efficient protocols. / +46 (0)723260656

The ordinary phone of today is not the same as it was 10 years ago. We still use them tomake phone calls and to send text messages, but the ordinary phone of today has muchmore uses, it is essentially a computer. To put into context to 10 years ago, it is a verypowerful computer, capable of processing wide array of information and presenting it tothe user. Nearly every single device today has a wireless connection, which makes everyuser connectable and able to use online services and internet at any time and place.This gives the user the possibility to integrate his or hers everyday actions with socialmedia and different search functions. Being able to search the internet for persons,restaurants, public transportation and a lot more is very useful to most. Searching andinteracting in the near vicinity where you currently are is even more useful, this presents uswith location data.The usage of location data grants computer forensics a unique possibility to position adevice at a specific date and time. This can be helpful in court to sentence a perpetrator orto free an innocent.In this paper, we will try to explain the different methods used for mobile devicepositioning and present information how some popular applications make use of andmanage geographic positioning.

The diploma thesis deals with the management and security of mobile devices in the enterprise IT. The aim of the work is to familiarize the reader with the issue of enterprise mobility. As enterprise mobility covers a vast area and an important aspect of greatly efficient and secure use of any company's mobile devices is their mobile strategy, the work focuses on the process of creating a mobile security strategy and providing guidelines for its successful implementation. The integration of smart phones into a corporate infrastructure is a complex act. It is necessary to take into account the many safety demands and requirements for interoperability. The issue of mobile enterprise device management and security is very broad. Another part of the work describes various mobile platforms in terms of their suitability for use in the enterprise IT. Operating systems are analyzed in detail from several different points of view. The work provides insight into the market of operating systems and explains the basic security threats to which these systems are exposed and recommends ways of protection against unwanted effects. The final part of the thesis deals with design solutions management and security of mobile devices in the company. On the basis of the requirements set suggests a solution that encompasses deployment of Mobile Device Management device management and security proposes rules for the extension of security policy on mobile device management.

Smart phones today have become increasingly popular with the general public for its diverse abilities like navigation, social networking, and multimedia facilities to name a few. These phones are equipped with high end processors, high resolution cameras, built-in sensors like accelerometer, orientation-sensor, light-sensor, and much more. According to comScore survey, 25.3% of US adults use smart phones in their daily lives. Motivated by the capability of smart phones and their extensive usage, I focused on utilizing them for bio-medical applications. In this thesis, I present a new application for a smart phone to quantify the vital signs such as heart rate, respiratory rate and blood pressure with the help of its built-in sensors. Using the camera and a microphone, I have shown how the blood pressure and heart rate can be determined for a subject. People sometimes encounter minor situations like fainting or fatal accidents like car crash at unexpected times and places. It would be useful to have a device which can measure all vital signs in such an event. The second part of this thesis demonstrates a new mode of communication for next generation 9-1-1 calls. In this new architecture, the call-taker will be able to control the multimedia elements in the phone from a remote location. This would help the call-taker or first responder to have a better control over the situation. Transmission of the vital signs measured using the smart phone can be a life saver in critical situations. In today's voice oriented 9-1-1 calls, the dispatcher first collects critical information (e.g., location, call-back number) from caller, and assesses the situation. Meanwhile, the dispatchers constantly face a "60-second dilemma"; i.e., within 60 seconds, they need to make a complicated but important decision, whether to dispatch and, if so, what to dispatch. The dispatchers often feel that they lack sufficient information to make a confident dispatch decision. This remote-media-control described in this system will be able to facilitate information acquisition and decision-making in emergency situations within the 60-second response window in 9-1-1 calls using new multimedia technologies.

The global average screen time on smartphones reaches up to 4 hours, revealed App Annie. In recent years, there have also been increasing concerns about the problematic use of smartphones and its impact on public health, such as sleep hygiene, cognitive capacity, and mental health. According to Tristan Harris, a former Design Ethicist at Google, enabling grayscale is a possible way to reduce screen time, because it makes the smartphone less attractive. Therefore, the aim of this thesis is to perform an experiment to confirm or reject the functionality of this recommendation and at the same time, through in-depth interviews with its participants, to describe how they perceive it and how it affects them.

Formal features of video such as shot composition and graphic design can weigh heavily on the success or failure of educational videos. Many studies have assessed the proper use of these techniques given the psychological expectations that viewers have for video programming (Hawkins et al., 2002; Kenny, 2002; Lang, Zhou, Schwardtz, Bolls, & Potter, 2000; McCain, Chilberg, & Wakshlag, 1977; McCain & Repensky, 1972; Miller, 2005; Morris, 1984; Roe, 1998; Schmitt, Anderson, & Collins, 1999; Sherman & Etling, 1991; Tannenbaum & Fosdick, 1960; Wagner, 1953). This study examined formal features within the context of the newly emerging distribution method of viewing video productions on mobile handheld devices. Shot composition and graphic design were examined in the context of an educational video to measure whether or not they had any influence on user perceptions of learning and learning outcomes. The two formal features were modified for display on 24 inch screens and on 3.5 inch or smaller screens. Participants were shown one of the four modified treatments, then presented with a test to measure whether or not the modified formal features had any impact or influence on learning outcomes from a sample of 132 undergraduate college students. No significant differences were found to occur as a result of manipulation of formal features between the treatment groups.

M. Tech. (Department of Marketing Management, Faculty of Management Sciences), Vaal University of Technology. / The evolution of social media has seen people around the world connect with one another, communicate and share information without boundaries and time limitation. Social media is no myth, neither is it just a trend but a powerful communication medium which presents a fundamental shift in communication that cuts across all cultures, be it social, business, politics, sports, news and more. Social media adoption over the years, has seen billions of people participating on social networking sites and the interaction thereof has considerably influenced marketing related correspondence, public relations as well as modern day business communication. In the connected world, social media interaction is the current word-of-mouth, often referred to as electronic word of mouth and in the connected world, everyone is a content generator. In this social media era, information travels faster, reaching millions of consumers and affecting their perception towards certain products and brands based on the information shared and received. Therefore, social media interaction has proved to be an important contributing factor in consumer’s purchase decision process. However, this evolution in communication introduces unprecedented challenges as well as opportunities for organisations as buying decisions are affected significantly by social media interaction, and thus warranties a study of this nature to be carried out. The aim of this study was to examine the influence of social media on brand awareness as well as the relationships between brand awareness, perceived quality, brand loyalty and purchase intention. To attain the empirical objectives of the study, a quantitative research design was adopted and the respondents were selected using a non-probability convenience sampling technique. For data collection, the researcher used a structured self-administered questionnaire survey. Of the 320 distributed questionnaires, the researcher utilised 304 usable questionnaires for data analysis. The Statistical Package for Social Sciences (SPSS) version 25.0 was used to compute both descriptive and inferential statistics (which includes correlation and regression analysis). In addition, the reliability and validity analysis were carried out in relation to the measuring instrument. Results from the correlation and regression analysis revealed positive significant relationship between social media and brand awareness, brand awareness and perceived quality, brand loyalty and purchase intention, perceived quality with brand loyalty and purchase intention as well as brand loyalty and purchase intention. Based on the results of the study, recommendations emanating from the study include the integration of social media marketing in the organisation’s overall marketing strategy, creating and maintaining online brand communities to engage with current and potential customers as well as making use of social media platforms for advertising and promotions. The limitations of the study and the proposed opportunities for further research were also highlighted.

M. Tech. (Department of Information and Communication Technology, Faculty of Applied and Computer Sciences), Vaal University of Technology. / Mobile devices are rapidly becoming a key computing platform, transforming how people access business and personal information. Accessing business and personal data using mobile devices requires authentication that is secure. The world is rapidly becoming connected and all users of mobile devices need to be clear regarding individual data security. As a result, biometrics for mobile devices has come into existence. Biometric technology can be applied on mobile devices to improve the trustworthiness of wireless services. Furthermore, it is of great importance and necessary to start paying attention to and investing in mobile biometric technologies, as they are quickly turning into tools of choice for productivity. In the literature review, it shows that few studies measured the acceptance of biometric authentication technology on mobile devices. This study seeks to find out the perceptions as to the acceptance of biometric authentication technology on mobile devices. TAM2 was used as the foundation for generating the hypothesis and developing the conceptual framework for this study. This quantitative study used a survey-based questionnaire to collect data from 305 participants. The simple random sampling technique was used to select participants for this study. The response rate was 98% of the expected population, which was a total of 302 valid responses. A descriptive analysis was deployed to provide a description of respondents’ demographic characteristics. SPSS was used to compute the multiple regressions in order to evaluate the research hypotheses. The findings of this study revealed that perceived humanness, perceived interactivity, perceived social presence, perceived ease of use and subjective social norm, and perceived usefulness and trust are important determinants of customers’ intention to accept and use mobile biometric devices. It was found that reliability is a good predictor of trust. On the other hand privacy, identity theft and combining data are also important determinants of trust. This work can be used to strengthen biometric authentication technology in-cooperation with mobile devices for simplicity of use. Since most mobile devices are used for personal and business information, further research on the acceptance of biometric authentication technology on mobile devices is needed.