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add documentation for the dashboard and processing script
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# Dashboard & Processing | ||
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## Dashboard | ||
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The TotTag dashboard is a GUI for interacting with the tags. | ||
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To bring up the dashboard: | ||
```bash | ||
python3 tottag.py | ||
``` | ||
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### Disconnected state | ||
To discover the devices, click the scan button. | ||
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To schedule a new experiment for a group of devices, the devices have to be placed on chargers, otherwise they will not be discovered by scanning. | ||
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Once a deployment is scheduled, the schedule will be push to all devices. | ||
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### Connected state | ||
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Each device can be connected to individually. | ||
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In the connected state, any updates to the deployment only apply to the current connected device. | ||
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To download the logs, the connected device **needs to be on the charger**. | ||
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To view live ranging data, the connected device **should not be not on the charger**. | ||
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## Processing | ||
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### Statistics | ||
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```python | ||
from processing import * | ||
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# load the logs | ||
A = load_data("E1.pkl") | ||
B = load_data("Pat.pkl") | ||
C = load_data("SB.pkl") | ||
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# 3.0 is the touching distance threshold (could be modified) | ||
# the unit could be 'ft' or 'm' | ||
get_daily_ranging_statistics(A, ["Pat","SB"], 3.0, unit='ft') | ||
get_daily_ranging_statistics(B, ["E1","SB"], 3.0, unit='ft') | ||
get_daily_ranging_statistics(C, ["E1","Pat"], 3.0, unit='ft') | ||
``` | ||
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### Plots | ||
```python | ||
from processing import * | ||
A = load_data("07.pkl") | ||
B = load_data("09.pkl") | ||
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# plot the voltages | ||
get_voltage_time_series(A, "07") | ||
get_voltage_time_series(B, "09") | ||
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# plot the ranges | ||
get_ranging_time_series(A, "07","09") | ||
get_ranging_time_series(B, "09","07") | ||
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get_motion_time_series(A, "07") | ||
get_motion_time_series(B, "09") | ||
``` | ||
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### Visualizing paired logs with alignment | ||
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To visualize events, an event log needs to be prepared. The event log have to follow the following format | ||
- A single line (no `ENTER`/`RETURN` within the line) per event. | ||
- For each line, always start with the Y-m-d H:i:s timestamp. | ||
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``` | ||
2024-04-01 08:33:11 SB enters the room. E1 is propped up on the window sill. Pat is laying flat on the table. | ||
2024-02-01 08:34:58 SB leaves the room. | ||
``` | ||
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```python | ||
from processing import * | ||
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# load the logs | ||
A = load_data("E1.pkl") | ||
B = load_data("Pat.pkl") | ||
C = load_data("SB.pkl") | ||
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# visualize paired logs | ||
visualize_ranging_pair_slider(A,B,"E1","Pat") | ||
visualize_ranging_pair_slider(A,C,"E1","SB") | ||
visualize_ranging_pair_slider(B,C,"Pat","SB") | ||
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# extract events from the event log | ||
events = extract_simple_event_log("annotation_pst.txt") | ||
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# visualize the events | ||
visualize_ranging_pair_slider(A,B,"E1","Pat", events=events) | ||
visualize_ranging_pair_slider(A,C,"E1","SB", events=events) | ||
visualize_ranging_pair_slider(B,C,"Pat","SB", events=events) | ||
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# visualize the events within [start_timestamp, end_timestamp] | ||
visualize_ranging_pair_slider(A,B,"E1","Pat", events=events, start_timestamp=1708619580, end_timestamp=1708623540) | ||
visualize_ranging_pair_slider(A,C,"E1","SB", events=events, start_timestamp=1708619580, end_timestamp=1708623540) | ||
visualize_ranging_pair_slider(B,C,"Pat","SB", events=events, start_timestamp=1708619580, end_timestamp=1708623540) | ||
``` |