plotly-dash-steps is a service with a graphical visualization of measurements from devices for monitoring walking habits and patterns of elderly and disabled persons.
Service can be accessed from graphical interface via web service.
- Build docker image:
cd docker-base
./build_image.sh- Run docker compose:
sudo docker-compose up --build- Patient selection dropdown. Choose patient to observe from dynamically updating list.
- Patient bio. Main information about the patient.
- Plot type selection dropdown. There are 2 plot types avaliable:
- History — plots of the sensors history from the last 10 minutes.
- Artifacts — plots of the sensors artifacts from the last 10 minutes.
- Data plot. Sensors data plot of chosen type. Can be zoomed in a specific x axis range.
- Sensor choosing tabs. Choose sensor to observe, there are 6 options available:
- L0 — left foot front sensor.
- L1 — left foot middle sensor.
- L2 — left foot back sensor.
- R0 — right foot front sensor.
- R1 — right foot middle sensor.
- R2 — right foot back sensor.
- Feet visualization. Feet visuazation with dynamically changing sensors and boxplots, representing metrics of sensors in a chosen date range.
