Data Analytics and Visualization for Connected Objects: A Case Study for Sleep and Physical Activity Trackers
| Autor: | Karima Sedki, Nicolas Ydée, Hugues Wattez, Karim Tabia |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Creative visualization
Focus (computing) Computer science business.industry BitTorrent tracker media_common.quotation_subject 020206 networking & telecommunications Usability 02 engineering and technology Visualization Smartwatch Human–computer interaction 0202 electrical engineering electronic engineering information engineering Added value Data analysis 020201 artificial intelligence & image processing business media_common |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319920573 IEA/AIE |
| Popis: | In recent years, a large number of connected objects for the monitoring of activities (health and well-being, sleep, fitness, nutrition, etc.) have emerged and are very popular with the general public. No doubt that their price, their ease of use and their interest in their health and well-being contribute to this success around the world. However, many of these consumer-connected objects suffer from several limitations, especially with regard to their high-level or smart functionalities and the added value of the information provided by such objects. In this paper, we first focus on such limitations then provide a real case study in monitoring physical activities and sleep using Fitbit smart watches. We propose some high level functionalities by taking advantage of the large amount of data collected and using data analytics and visualization techniques. |
| Databáze: | OpenAIRE |
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