A Novel Privacy Preservation and Quantification Methodology for Implementing Home-Care-Oriented Movement Analysis Systems

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. 2022 Jun 21;22(13):4677. doi: 10.3390/s22134677

Algorithm 1 Solution to daily activity analytics

Input: Continuous signal data S from the wearable devices.

Output: Daily activity analytic results AR.

1:
▹ Firstly, according to the user-controlled policy, try DnD-applicable analysis and also accumulate the raw data.
2:
$D \leftarrow \emptyset$ ▹D represents the raw data set.
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for each $s \in S$ do
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▹ Decompose each signal s into a tuple of meaningful information pieces $(d_{1}, d_{2}, d_{3} \dots)$ .
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$(d_{1}, d_{2}, d_{3} \dots) \leftarrow s$
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if DnD-applicable then
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▹ Applying DnD analytic methods (cf. Section 3.1) and continuously updating the analytic results AR.
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$AR \leftarrow$ DnD( $d_{1}, d_{2}, d_{3} \dots$ )
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end if
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▹ Optional raw data accumulation (also depending on the predefined policy).
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$D \leftarrow D \cup (d_{1}, d_{2}, d_{3} \dots)$
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end for
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▹ Secondly, if the user-controlled policy does not indicate any DnD-applicable scenario, then the analytic results AR will be empty, which means the offline analytics will be expected based on the accumulated raw data D.
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ifAR is NULL then ▹ Not in DnD-applicable scenarios.
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$AR \leftarrow$ OfflineAnalytics(D)
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end if
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▹ Thirdly, the post-analysis activities will be triggered according to the predefined policy.
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switchpolicydo ▹ Given predefined policies.
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case Store nothing and transmit analytic result
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$D \leftarrow \emptyset$ ▹ Erase raw data locally.
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send(AR)
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case Store analytic result and transmit nothing
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$D \leftarrow \emptyset$ ▹ Erase raw data locally.
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save(AR)
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case Store raw data and transmit analytic result
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save(D)
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send(AR)
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case Store nothing and transmit raw data
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send(D)
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$D \leftarrow \emptyset$ ▹ Erase raw data locally.
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case Others
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▹ More cases can be involved according to different policies.
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returnAR