# A Context Model for Personal Data Streams

arXiv: https://arxiv.org/abs/2206.10212 · HTML: https://mlsanity.com/paper/2206.10212/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Jun 2022.

## Built on by (most cited first, 1 of 1)

- [Factors Impacting the Quality of User Answers on Smartphones](https://mlsanity.com/paper/2306.00627/) (2023)

## Abstract (arXiv)

We propose a model of the situational context of a person and show how it can be used to organize and, consequently, reason about massive streams of sensor data and annotations, as they can be collected from mobile devices, e.g. smartphones, smartwatches or fitness trackers. The proposed model is validated on a very large dataset about the everyday life of one hundred and fifty-eight people over four weeks, twenty-four hours a day.