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The withings smart watch looks like a regular watch. It’s very difficult to tell that it has bluetooth and movement sensors inside. In addition it has long duration battery and it’s very elegant.
I have been using the watch during two years. Here you can find some of the insights that the data that the watch collected tell me.
This calendar plot shows the number of daily steps. Each box is a day. It’s interactive, so you can hover your mouse to read the data. The colour meaning is the following:
I have been wearing the device very often, so you can notice that there are a lot of blue squares. It’s also interesting to see holidays where I walk more than regular.
This chart shows the number of daily steps in a more regular way. You might see the following:
This chart shows the number of daily steps grouped by weekday. You might notice that Saturday is the day when I walk the most and Monday is a very lazy day.
This chart shows the number of daily steps grouped by month. You might notice some seasonal effects.
This data helps me to know myself more. Mondays are not my days. Saturdays and Summer are the periods of the time when I walk more.
The code to process data and plot the chatjs graphs can be found in this python notebook.
A marathon needs to be prepared for at least 3 months. This post shows my preparation training and a prediction of my time for the Metz Marathon 2017
In this post I use the javascript library Chartjs to illustrate interactively the statistics of a running activity at Santorini experience 2016
This project implements a deep learning model on a Jetson Nano to count and track people passing in front of a video camera.
This article shows how to collect data from article shows how to analyze logs using Kibana dashboards. Fluentbit is used for injecting logs to elasticsearch, then it is connected to kibana to get some insights.