Context

Activity recognition is specially gaining attention in care facilities for remote monitoring of daily activities for elders living alone and automatic record creation for nurses in hospitals with a goal of providing better care to patients. One challenge for these applications is bridging the gap between models created within the lab and models for real life. In this challenge, participants will create methods for recognizing 12 activities conducted by nurses in both lab and in real-life settings. In real world, there is high chance of getting missing labels during experiments since users are busy at work. The main challenge is leveraging laboratory data to improve models in real-life. This dataset consists of data collected in both settings.

Instructions

This dataset consists of two folders: training and testing

The training folder contains data collected in the lab and data from two users collected in the nursing home. They are separated in folders and there is one labels file for each. The testing folder contains data for only the nursing home from the same users as the training folder but different days.

Original Data

Acknowlegement

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