Prototype of an IoT-based Activity Detection Service Generator with Evaluation Datasets

Here you find the data, scripts and Siddhi services used for the evaluation section of the paper "Online Detection of Process Activity Executions from IoT Sensors using Generated Event Processing Services" (DOI: 10.1016/j.future.2025.107987) published in Future Generation Computer Systems (ISSN: 0167-739X). It is separated first by scenario (healthcare/smart-factory) and then into generation of services using one dataset and evaluation of those services using a range of other datasets, i.e., into siddhi-app-generation and app-evaluation. The datasets, accompanying scripts and other relevant files are in these subfolders. Both scenarios contain the following files: siddhi-app-generation/app_creation.py: Python script to generate the siddhi services siddhi-app-generation/in/*: Input files for the generation (IoT data, expert annotations) siddhi-app-generation/out/*: Output files from the generation (signatures, changes, siddhi services) app-evaluation/iot/*.jsonl: IoT data used for the evaluation app-evaluation/gt/*.xes: Ground truth data used for the evaluation app-evaluation/det/*.xes: Detected activities used for the evaluation app-evaluation/results: Some more detailed results of the evaluation app-evaluation/*.py and app-evaluation/*.sh: Scripts to run the evaluation An overview of the datasets can be seen below. Data Overview Smart Factory Executed on a Fischertechnik Industry 9.0V smart factory model available at the University of St.Gallen Input/Annotation/Generation 1 IoT log: 27.63 minutes, 0.5 Hz 13 activity types annotated 6 stations; no cross-station activities 14 sensors discretized 6 sensors ignored Simulation/Evaluation 3 IoT logs: 73.99 min + 63.1 min + 41.35 min; roughly 3 hours; 0.5 Hz 395 activity instances 36 process instances Smart Healthcare Executed by 17 students of the Medical Master Programme at University of St. Gallen. Input/Annotation/Generation 1 IoT log: 5.82 mins, 2 Hz 18 activity types annotated 2 stations; 3 cross-station activities 7 sensors discretized 3 sensors ignored general, some specific sensor ignores Simulation/Evaluation 16 IoT logs: 65.31 minutes, 2 Hz 188 activity instances 16 process instances