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Description
The localisation and activity examples use different format of descriptor_map
eg. The localisation uses arrays of integers denoting the labels
bHealth/examples/localisation_example.py
Lines 100 to 105 in 73bd95f
| descriptor_map = { | |
| 'foyer' : [0], | |
| 'bedroom' : [1], | |
| 'living_room' : [2], | |
| 'bathroom' : [3] | |
| } |
While the accelerometer example uses integers
bHealth/examples/accelerometer_example.py
Lines 114 to 121 in 73bd95f
| descriptor_map = { | |
| 'sitting' : 77, | |
| 'walking' : 78, | |
| 'washing' : 79, | |
| 'eating' : 80, | |
| 'sleeping': 81, | |
| 'studying': 82 | |
| } |
What is the reasoning behind it, and which method should we choose as standard. A benefit from the list is that it could group labels, for example "upstairs" could be associated to [0, 1, 2], or "sedentary" as well.
I am not sure if there are collateral implications on this modification.
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enhancementNew feature or requestNew feature or requestquestionFurther information is requestedFurther information is requested