Ritchies Smart Watch Data Analytics and Visualization Nandireddy Chaitanya Nath Reddy 1 , Aditya Ramesh 1 , Rajkumar Rajasekaran 1(&) , and Jolly Masih 2 1 School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India vitrajkumar@gmail.com 2 Erasmus University, Rotterdam, The Netherlands Abstract. The popularity of smartwatches has signicantly risen in the past decade owing to advancements in technology, cost reduction, materials avail- ability, production optimization and industrial automation. These factors have compounded the growth of manufacture of smartwatches and coupled with the internet-of-things boom in recent years, this eld has seen rapid development and large investments of time and resources. Consequently, with a large amount of data being generated by these smartwatches, the question arises is it feasible to obtain this data from a watch, and then visualize it in an interpretable manner? Our work answers this with a positive yesand demonstrates the proof-of- concept. We propose to build a platform that can extract data from a smartwatch (Mi Band 3 used in proof-of-concept) and visualize this information on a web application dashboard in order to enable the user to obtain insights regarding their physical health and data with ease and convenience. Keywords: Data visualization Á Smartwatch Á Health Á Analytics Á Dashboard Á Framework Á Web application 1 Introduction In todays age, the majority of the consumer electronics sector insists on empowering themselves with insights and actionable information. The general populace strives to be afforded personal information and the pursuit to acquire and capture data is at an all- time high. Large product rms such as Apple, Samsung, Fitbit, Google are investing large amounts of revenue into the research and development of products that allow users to gain more information about each other. This is also manifested in the con- sumers side as the trend to achieve a healthier lifestyle is improving in the last few years. With the rise of wearable technology, the attention of large rms is on building smartwatches and other such wearables that equip users with the data their existence generates. Keeping these factors in mind, we propose a non-product-specic platform that was proposed to enable users to synchronize and plot the data their wearable devices generate, on a web application dashboard. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 J. I.-Z. Chen et al. (Eds.): ICIPCN 2020, AISC 1200, pp. 776784, 2021. https://doi.org/10.1007/978-3-030-51859-2_70