Integrating Wearable Data into Process Mining: Event, Case and Activity Enrichment
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915654496419840 |
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| author | Dani, Vinicius Stein Lu, Xixi Beerepoot, Iris |
| author_facet | Dani, Vinicius Stein Lu, Xixi Beerepoot, Iris |
| contents | In this short paper, we explore the enrichment of event logs with data from wearable devices. We discuss three approaches: (1) treating wearable data as event attributes, linking them directly to individual events, (2) treating wearable data as case attributes, using aggregated day-level scores, and (3) introducing new events derived from wearable data, such as sleep episodes or physical activities. To illustrate these approaches, we use real-world data from one person, matching health data from a smartwatch with events extracted from a digital calendar application. Finally, we discuss the technical and conceptual challenges involved in integrating wearable data into process mining for personal productivity and well-being. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_05203 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Integrating Wearable Data into Process Mining: Event, Case and Activity Enrichment Dani, Vinicius Stein Lu, Xixi Beerepoot, Iris Databases Computers and Society In this short paper, we explore the enrichment of event logs with data from wearable devices. We discuss three approaches: (1) treating wearable data as event attributes, linking them directly to individual events, (2) treating wearable data as case attributes, using aggregated day-level scores, and (3) introducing new events derived from wearable data, such as sleep episodes or physical activities. To illustrate these approaches, we use real-world data from one person, matching health data from a smartwatch with events extracted from a digital calendar application. Finally, we discuss the technical and conceptual challenges involved in integrating wearable data into process mining for personal productivity and well-being. |
| title | Integrating Wearable Data into Process Mining: Event, Case and Activity Enrichment |
| topic | Databases Computers and Society |
| url | https://arxiv.org/abs/2512.05203 |