Relevant bibliographies by topics / Smartwatch-android

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Smartwatch-android'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Smartwatch-android"

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Putra, Roni Anggara, Abdul Fadlil, and Imam Riadi. "Forensik Mobile Pada Smartwatch Berbasis Android." Jurnal Rekayasa Teknologi Informasi (JURTI) 1, no. 1 (June 8, 2017): 41. http://dx.doi.org/10.30872/jurti.v1i1.638.

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Perkembangan teknologi pada saat ini berkembang sangat pesat. Salah satu contoh berkembangnya alat telekomunikasi yang dipadukan dengan jam tangan yang dikenal sebagai smartwatch. Perkembangan smartwatch telah menyamai kemampuaan yang ada di smatphone, sehingga tidak menutup kemungkinan smartwatch dapat digunakan sebagai alat tindak kejahatan. Hal ini merupakan tantangan bagi IT forensik dan penegak hukum untuk melakukan penyelidikan terhadap smartwatch dari seseorang yang melakukan kejahatan dijadikan tersangka dari sebuah kasus. Caranya adalah dengan menerapkan pengembangan metode-metode forensic yang ada, sehingga dari hasil yang didapatkan dari metode forensic yang dilakukan diharapakan menjadi hasil yang berguna bagi IT forensic dan penegak hukum.
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Yundra, Eppy, Arif Widodo, Pradini Puspitaningayu, and Unit Three Kartini. "Wireless body area network's application for motion detection based on Android smartwatch." MATEC Web of Conferences 197 (2018): 11020. http://dx.doi.org/10.1051/matecconf/201819711020.

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Short-range, wireless communications in the vicinity of, or inside, a human body (but not limited to humans) are specified in this standard. It uses existing industrial scientific medical (ISM) bands as well as frequency bands approved by national medical and/or regulatory authorities. These sensors provide accurate and reliable information about the situation or activity occurring at any time. This high responsiveness of these sensors has made lives easy and safe. This article will perform an investigation on the WBAN's application for motion detection based on android smartwatch. The main problem is how to the sensors that attached on the human body can send of data via Bluetooth and read the motion and orientation of the body and display in the graph form. However, if the sensors do not match, the result of output display inappropriate. This article proposed method by using accelerometer and gyroscope sensors which are integrated with smartwatch to overcome the main problem. This application will display results in the form of numeric values and then convert in graph form. These results have proven that WBAN's application for motion sensing can be used for detection of motion and orientation via Bluetooth based on android smartwatch.
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Amor, James D., and Christopher J. James. "Validation of a Commercial Android Smartwatch as an Activity Monitoring Platform." IEEE Journal of Biomedical and Health Informatics 22, no. 4 (July 2018): 968–78. http://dx.doi.org/10.1109/jbhi.2017.2732678.

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Indrayana, I. N. E., P. Sutawinaya, N. M. W. D. Pratiwi, P. M. Prihatini, and S. A. Asri. "Android-Based Child Monitoring Application Using A Smartwatch and Geofence Service." Journal of Physics: Conference Series 1803 (February 2021): 012024. http://dx.doi.org/10.1088/1742-6596/1803/1/012024.

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Bedjo Utomo, Syaifudin Syaifudin, Endang Dian Setioningsih, Torib Hamzah, and Parameswaran Parameswaran. "Oximeter and BPM on Smartwatch Device Using Mit-App Android with Abnormality Alarm." Journal of Electronics, Electromedical Engineering, and Medical Informatics 3, no. 2 (July 19, 2021): 85–92. http://dx.doi.org/10.35882/jeeemi.v3i2.4.

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Monitoring is an activity that is carried out continuously. Healthy condition is a parameter that is needed in life, one of the important parameters is the measurement of oxygen saturation in the blood and heart rate. The purpose of this research is to develop a Smartwatch SpO2 device and BPM sensor that is connected to WIFI using the Android Platform instead of using an LCD for parameter reading. This module design method uses the MAX30100 sensor to display the SpO2 and BPM values ​​displayed on the OLED. Data processing is carried out using ATMEGA 328P programming and then displayed in the Android-based Mit-app application. The results show the average error for the SPO2 value is 0.868 % and the standard deviation is 0.170 %, while the BPM value has an average error of 0.56 % and a standard deviation of 0.30%. From the results of the comparison data analysis, the largest error was 1.03% and the smallest was 0.62% for Spo2 ml/hour with an accuracy of 0.05 (0.57%) with a precision value of 0.08 at the selection speed of 50 ml/hour. From the results above, it can be concluded that the data can be displayed on OLED using the Mit-app Android application with an error rate accuracy of 0.57%. From the results of this research design, it is hoped that it can facilitate the diagnosis of the condition of patients and health nurses
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Kosanovic, Milos, and Slavimir Stosovic. "The concept for the “Smart Home” controlled by a smartwatch." Facta universitatis - series: Electronics and Energetics 31, no. 3 (2018): 389–400. http://dx.doi.org/10.2298/fuee1803389k.

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In this paper a ?Smart Home? solution is proposed in which power plugs in a remote room can be controlled by a smartwatch, an Android mobile device or a PHP web app. Communication between these devices takes place in real time via server using Node.js technology. An electrical circuit for determining current and voltage on the plugs via Arduino Wi-Fi module sends the measured values to the server, based on which the electrical energy consumption in each time interval can be determined. All the measured values are stored in MySQL database and used for creation of appropriate reports. Smartwatch app enables remote plugging and unplugging. In addition, the setting of limits for electrical energy consumption on each plug is enabled, as well as the power of the consumption device that can be plugged. Exceeding of the allowed values leads to the automatic unplugging.
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Do, Quang, Ben Martini, and Kim-Kwang Raymond Choo. "Is the data on your wearable device secure? An Android Wear smartwatch case study." Software: Practice and Experience 47, no. 3 (May 18, 2016): 391–403. http://dx.doi.org/10.1002/spe.2414.

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Mezari, Antigoni, and Ilias Maglogiannis. "An Easily Customized Gesture Recognizer for Assisted Living Using Commodity Mobile Devices." Journal of Healthcare Engineering 2018 (July 19, 2018): 1–12. http://dx.doi.org/10.1155/2018/3180652.

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Automatic gesture recognition is an important field in the area of human-computer interaction. Until recently, the main approach to gesture recognition was based mainly on real time video processing. The objective of this work is to propose the utilization of commodity smartwatches for such purpose. Smartwatches embed accelerometer sensors, and they are endowed with wireless communication capabilities (primarily Bluetooth), so as to connect with mobile phones on which gesture recognition algorithms may be executed. The algorithmic approach proposed in this paper accepts as the input readings from the smartwatch accelerometer sensors and processes them on the mobile phone. As a case study, the gesture recognition application was developed for Android devices and the Pebble smartwatch. This application allows the user to define the set of gestures and to train the system to recognize them. Three alternative methodologies were implemented and evaluated using a set of six 3-D natural gestures. All the reported results are quite satisfactory, while the method based on SAX (Symbolic Aggregate approXimation) was proven the most efficient.
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Mauldin, Taylor, Marc Canby, Vangelis Metsis, Anne Ngu, and Coralys Rivera. "SmartFall: A Smartwatch-Based Fall Detection System Using Deep Learning." Sensors 18, no. 10 (October 9, 2018): 3363. http://dx.doi.org/10.3390/s18103363.

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This paper presents SmartFall, an Android app that uses accelerometer data collected from a commodity-based smartwatch Internet of Things (IoT) device to detect falls. The smartwatch is paired with a smartphone that runs the SmartFall application, which performs the computation necessary for the prediction of falls in real time without incurring latency in communicating with a cloud server, while also preserving data privacy. We experimented with both traditional (Support Vector Machine and Naive Bayes) and non-traditional (Deep Learning) machine learning algorithms for the creation of fall detection models using three different fall datasets (Smartwatch, Notch, Farseeing). Our results show that a Deep Learning model for fall detection generally outperforms more traditional models across the three datasets. This is attributed to the Deep Learning model’s ability to automatically learn subtle features from the raw accelerometer data that are not available to Naive Bayes and Support Vector Machine, which are restricted to learning from a small set of extracted features manually specified. Furthermore, the Deep Learning model exhibits a better ability to generalize to new users when predicting falls, an important quality of any model that is to be successful in the real world. We also present a three-layer open IoT system architecture used in SmartFall, which can be easily adapted for the collection and analysis of other sensor data modalities (e.g., heart rate, skin temperature, walking patterns) that enables remote monitoring of a subject’s wellbeing.
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Jusoh, Rosmalissa, Ahmad Firdaus, Shahid Anwar, Mohd Zamri Osman, Mohd Faaizie Darmawan, and Mohd Faizal Ab Razak. "Malware detection using static analysis in Android: a review of FeCO (features, classification, and obfuscation)." PeerJ Computer Science 7 (June 11, 2021): e522. http://dx.doi.org/10.7717/peerj-cs.522.

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Android is a free open-source operating system (OS), which allows an in-depth understanding of its architecture. Therefore, many manufacturers are utilizing this OS to produce mobile devices (smartphones, smartwatch, and smart glasses) in different brands, including Google Pixel, Motorola, Samsung, and Sony. Notably, the employment of OS leads to a rapid increase in the number of Android users. However, unethical authors tend to develop malware in the devices for wealth, fame, or private purposes. Although practitioners conduct intrusion detection analyses, such as static analysis, there is an inadequate number of review articles discussing the research efforts on this type of analysis. Therefore, this study discusses the articles published from 2009 until 2019 and analyses the steps in the static analysis (reverse engineer, features, and classification) with taxonomy. Following that, the research issue in static analysis is also highlighted. Overall, this study serves as the guidance for novice security practitioners and expert researchers in the proposal of novel research to detect malware through static analysis.
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Dissertations / Theses on the topic "Smartwatch-android"

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Govoni, Federico. "End to End Navigation Process on Android Smartwatches for the Connected Car Industry." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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In this thesis we will have a deep immersion in the Connected-Car project of Lamborghini Company. The goal that Lamborghini wants to achieve in this big project is to let Customers to remotely interact with the owned cars (right now just Urus model), providing them many remote services that can be accessed thanks to the usage of a mobile application: Lamborghini Unica. Unica is the only available Customer Portal that keeps the Customer in touch with the mother Company; it is integrated with the Lamborghini CRM, Lamborghini Order System and a CMS, for keep the Customers up to date with news and events. The team that I joined faces the problem of the Connected-Car from the mobile application point of view, taking care about the development and the design of Unica, that must be integrated with many backend systems for the interaction with the cars and for the management of users and contents. Connected-Car provides to the Customers many services through which they can interact with their cars, by the way in this thesis we will focus on the service of the End to End Navigation. End to End Navigation is a navigation service, integrated in both the mobile application and the car, that provides to the Customer a full navigation experience: firstly, it drives the Customer to the Urus; in this step, after the selection of the destination, the Customer can follow the navigation instructions on the mobile device; then, when engine of the car is turned on, the ongoing navigation is automatically caught by the Urus’ infotainment system, which proposes to the Customer to continue it. Finally, when the Customer parks the car, if the destination has not been reached yet, the Customer will receive a push notification on the mobile device, through which he/she can complete the guidance by foot.
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Corzani, Mattia. "Sviluppo e validazione di una App Android per il riconoscimento dell'attivita motoria tramite Smartphones e Smartwatch." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/9734/.

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In questo progetto di tesi saranno applicate tecniche appartenenti al campo della bioingegneria, indirizzate al riconoscimento delle attività motorie e all’analisi del movimento umano. E' stato definito un protocollo di ricerca necessario per il raggiungimento degli obiettivi finali. Si è quindi implementata un’App Android per l’acquisizione e il salvataggio dei dati provenienti dai principali sensori di Smartwatch e Smartphone, utilizzati secondo le modalità indicate nel protocollo. Successivamente i dati immagazzinati nei dispositivi vengono trasferiti al Pc per effettuarne l’elaborazione off-line, in ambiente Matlab. Per facilitare la seguente procedura di sincronizzazione dei dati intra e inter-device, tutti i sensori sono stati salvati, dall’App Android, secondo uno schema logico definito. Si è perciò verificata la possibilità del riconoscimento del contesto e dell’attività nell’uso quotidiano dei dispositivi. Inoltre si è sviluppato un algoritmo per la corretta identificazione del numero dei passi, indipendentemente dall’orientamento del singolo dispositivo. Infatti è importante saper rilevare in maniera corretta il numero di passi effettuati, soprattutto nei pazienti che, a causa di diverse patologie, non riescono ad effettuare una camminata fluida, regolare. Si è visto come il contapassi integrato nei sistemi commerciali per il fitness più diffusi (Smartwatch), pecca soprattutto in questa valutazione, mentre l’algoritmo, appositamente sviluppato, è in grado di garantire un’analisi accettabile a prescindere dal tipo di attività svolta, soprattutto per i dispositivi posizionati in L5. Infine è stato implementato un algoritmo, che sfrutta il filtro di Kalman e un modello biomeccanico appositamente sviluppato, per estrapolare l’evoluzione dell’angolo Tronco-Coscia. Avere a disposizione tale informazione e perciò conoscere la biomeccanica e la cinematica del corpo umano, rende possibile l’applicazione di questa procedura in svariati campi in ambito clinico e non.
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Lelli, Matteo. "Design and Implementation of a Cloud-based Middleware for Persuasive Android Applications." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/10371/.

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Negli ultimi decenni, le tecnologie e i prodotti informatici sono diventati pervasivi e sono ora una parte essenziale delle nostre vite. Ogni giorno ci influenzano in maniera più o meno esplicita, cambiando il nostro modo di vivere e i nostri comportamenti più o meno intenzionalmente. Tuttavia, i computer non nacquero inizialmente per persuadere: essi furono costruiti per gestire, calcolare, immagazzinare e recuperare dati. Non appena i computer si sono spostati dai laboratori di ricerca alla vita di tutti i giorni, sono però diventati sempre più persuasivi. Questa area di ricerca è chiamata pesuasive technology o captology, anche definita come lo studio dei sistemi informatici interattivi progettati per cambiare le attitudini e le abitudini delle persone. Nonostante il successo crescente delle tecnologie persuasive, sembra esserci una mancanza di framework sia teorici che pratici, che possano aiutare gli sviluppatori di applicazioni mobili a costruire applicazioni in grado di persuadere effettivamente gli utenti finali. Tuttavia, il lavoro condotto dal Professor Helal e dal Professor Lee al Persuasive Laboratory all’interno dell’University of Florida tenta di colmare questa lacuna. Infatti, hanno proposto un modello di persuasione semplice ma efficace, il quale può essere usato in maniera intuitiva da ingegneri o specialisti informatici. Inoltre, il Professor Helal e il Professor Lee hanno anche sviluppato Cicero, un middleware per dispositivi Android basato sul loro precedente modello, il quale può essere usato in modo molto semplice e veloce dagli sviluppatori per creare applicazioni persuasive. Il mio lavoro al centro di questa tesi progettuale si concentra sull’analisi del middleware appena descritto e, successivamente, sui miglioramenti e ampliamenti portati ad esso. I più importanti sono una nuova architettura di sensing, una nuova struttura basata sul cloud e un nuovo protocollo che permette di creare applicazioni specifiche per smartwatch.
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Cecchetti, Giulia. "Sviluppo di un’applicazione Android Wear: un servizio smart per l’igiene dentale." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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Negli ultimi anni si è assistito ad un rapido incremento nello sviluppo dei dispositivi indossabili intelligenti, i cosiddetti wearable devices. Con il termine wearable devices sono intesi tutti quei dispositivi, portabili ed indossabili, modellati attorno al corpo dell’uomo, con lo scopo di rendere il più possibile fruibile e meno invasiva la tecnologia al servizio dell’utente. Al momento, la categoria di prodotto piú venduta è quella degli orologi intelligenti e sono sempre piú numerosi i campi in cui questi dispositivi trovano applicazione, che vanno dall’entertainment, al controllo dell’attività fisica, al monitoraggio biomedico. Questa tesi si pone dunque l’obiettivo di progettare e realizzare un’applicazione per smartwatch, in grado di guidare l’uomo attraverso una corretta igiene dentale, sfruttando le rilevazioni effettuate tramite i sensori di movimento dell’orologio, quali l’accelerometro e il giroscopio.
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Charalampidis, Vasileios. "Real-Time Monitoring System of Sedentary Behavior with Android Wear and Cloud Computing : An office case study." Thesis, KTH, Skolan för teknik och hälsa (STH), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210017.

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Nowadays, prolonged sitting among office workers is a widespread problem, which is highly related to several health problems. Many proposals have been reported and evaluated to address this issue. However, motivating and engaging workers to change health behavior to a healthier working life is still a challenge. In this project, a specific application has been deployed for real-time monitoring and alerting office workers for prolonged sitting. The proposed system consists of three distinct parts: The first one is an android smartwatch, which was used to collect sensor data e.g., accelerometer and gyro data, with a custom android wear app. The second one is an android application, which was developed to act as a gateway for receiving the smartwatch’s data and sending them to IBM Bluemix cloud with MQTT protocol. The final part is a Node-Red cloud application, which was deployed for storing, analyzing and processing of the sensor data for activity detection i.e., sitting or walking/standing. The main purpose of the last one was to return relevant feedback to the user, while combining elements from gaming contexts (gamification methods), for motivating and engaging office workers to a healthier behavior. The system was firstly tested for defining appropriate accelerometer thresholds to five participants (control group), and then evaluated with five different participants (treatment group), in order to analyze its reliability for prolonged sitting detection. The results showed a good precession for the detection. No confusing between sitting and walking/standing was noticed. Communication, storage and analysis of the data was successfully done, while the push notifications to the participants, for alerting or rewarding them, were always accurate and delivered on time. Every useful information was presented to the user to a web-based dashboard accessed through a smartphone, tablet or a PC.     The proposed system can easily be implemented at a real-life scenario with office workers. Certainly, there is a lot space for improvement, considering mostly the type of data registered at the system, the method for sitting detection, and the user interface for presenting relevant information.
Numera är förlängt sittande bland kontorsarbetare ett utbrett problem som är väldigt relaterat till flera hälsoproblem. Många förslag har rapporterats och utvärderas för att ta itu med denna fråga. Tydligen är det fortfarande en utmaning att motivera och engagera arbetstagare för att förändra deras hälsobeteende till hälsosammare arbetsliv. I detta projekt har en särskild applikation använts för realtidsövervakning och varnar kontorsarbetare för förlängt sittande. Det föreslagna systemet består av tre olika delar: Den första är en android smartwatch, som användes för att samla sensordata t.ex. accelerometer och gyrodata, med en anpassad android wear app. Den andra är en en androidapplikation som fungerade som en gateway för att ta emot smartwatchens data och skickar datan till IBM Bluemix-Cloud med MQTT-protokollet. Den sista delen är en Node-RED Cloud-Applikation som användes för lagring, analysering och behandling av sensordata för aktivitetsdetektering. Detta innebär sittande eller gå/stående med det huvudsakliga ändamålet att returnera relevant återkoppling till användaren, samtidigt som man kombinerar element från spelkontekster (gamification metoder), för att motivera och engagera arbetarna till ett hälsosammare beteende. Systemet testades först för att definiera lämpliga accelerometertrösklar till fem deltagare (kontroll grupp) och utvärderades sedan med fem olika deltagare (behandingsgrupp) för att analysera dess tillförlitlighet för långvarig sittdetektering. Resultaten visade en bra precession för detektionen. Ingen förvirring mellan att sitta och gå / stående märktes. Kommunikation, lagring och analys av data gjordes framgångsrikt, medan push-meddelandena till deltagarna, för att varna eller belöna dem, var alltid korrekta och levererade i tid. All användbar information presenterades för användaren på en webbaserad dashboard som nås via en smartphone surfplatta eller en dator. Det föreslagna systemet kan enkelt implementeras i ett verkligt scenario med kontorsarbetare. Visst finns det mycket utrymme för förbättring om man tänker på majoriteten av data som registrerats i systemet, metoden för sittande detektion och användargränssnittet för presentering av relevant information.
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Sintoni, Sara. "Business Travels: applicazione mobile per la gestione clienti." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016.

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Il progetto di tesi prevede la progettazione o lo sviluppo del sistema Business Travels per dispositivi Android per l’azienda Cosmobile s.r.l. composto da due applicazioni: una per smartphone e una per smartwatch. Pensata per gli agenti di commercio, consente la gestione di clienti che possono avere più sedi e appuntamenti con essi; dando la possibilità di memorizzare, tramite un sondaggio, l'esito di questi ultimi. Tutte le informazioni sono sincronizzate in automatico con un server e con lo smartwatch.
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Chiarello, Emanuele. "Sistemi di navigazione urbana attraverso device wearable." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13159/.

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Il concetto di Smart City rappresenta una filosofia di progresso adottata da sempre più città. Ad una crescita della popolazione, infrastrutture e sprechi, le smart city propongono soluzioni ecosostenibili per migliorare la qualità di vita di ogni singolo individuo. Un aspetto fondamentale di tale realtà, è quello di smart mobility grazie al quale si offrono ai cittadini soluzioni per muoversi efficienti e intelligenti. OpenStreetMap è una piattaforma OpenSource atta a realizzare mappe. Questa piattaforma è utilizzata da OpenTripPlanner, applicazione per Android per la ricerca di percorsi su una mappa, che promuove l'uso delle infrastrutture proposte dall'idea di smart mobility. Il progetto consiste nell'implementare una funzionalità di navigazione in tempo reale all'applicazione OpenTripPlanner attraverso un sistema di notifiche ed estendere tale feature su un dispositivo wearable smartwatch.
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Beck-Norén, Gustav. "Cross-platform Development for Wearable Devices." Thesis, Linköpings universitet, Programvara och system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119453.

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The market for wearable devices is continuously growing and has seen an in- crease in interest and demand this past year, specifically smartwatch devices. With several big players entering and trying to take place in the market the number of devices and platforms grow. This leads to device and software fragmentation like the one seen in the world of smartphones. In this paper I discuss and compare the two smartwatch platforms Android Wear and Apple Watch in terms of possibilities, limitations and differences. Research is done to find cross-platform development possibilities for these platforms. Extensive theoretical background of both APIs is researched and presented. An app for both smartwatch platforms is developed with integration of the WebSocket protocol to function as a remote control for a Video-On-Demand web service. This is done to showcase the cross-platform possibilities and differences of the platforms. As a result the biggest differences are out- lined and a conclusion is made that cross-platform development for these platforms can be challenging but is possible on certain levels.
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Conference papers on the topic "Smartwatch-android"

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Liu, Xing, and Feng Qian. "Measuring and optimizing android smartwatch energy consumption." In MobiCom'16: The 22nd Annual International Conference on Mobile Computing and Networking. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2973750.2985259.

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Gao, Bohao, Qing Mu, Quanxin Zhang, Yuanzhang Li, and Yu'an Tan. "A SmartWatch-based Password Input Extension for Android." In 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering. Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/meic-14.2014.57.

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Tombeng, Marchel T., Regi Najoan, and Noviko Karel. "Smart Car: Digital Controlling System Using Android Smartwatch Voice Recognition." In 2018 6th International Conference on Cyber and IT Service Management (CITSM). IEEE, 2018. http://dx.doi.org/10.1109/citsm.2018.8674359.

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Maglogiannis, Ilias, Christos Panagopoulos, George Spyroglou, Panayiotis Tsanakas, and Maria Mazonaki. "Mobile Reminder System for Furthering Patient Adherence Utilizing Commodity Smartwatch and Android devices." In 4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies". ICST, 2014. http://dx.doi.org/10.4108/icst.mobihealth.2014.257301.

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Schaeffer, Matheus Klein, Jeangrei Emanoelli Veiga, Daiana Biduski, Marcelo Trindade Rebonatto, and Ana Carolina B. De Marchi. "Android app lifestyle — Smartphone and smartwatch integred into a cloud computing by web services." In 2017 12th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2017. http://dx.doi.org/10.23919/cisti.2017.7975814.

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