An Habit Is a Process: A BPM-Based Approach for Smart Spaces

Sora, Daniele; Leotta, Francesco; Mecella, Massimo

doi:10.1007/978-3-319-74030-0_22

Cited by 6 publications

(1 citation statement)

References 20 publications

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“…Related work exists in the discovery of models of daily routines, where activity recognition is embedded into a BPM context. The authors of [25] use an existing sensor log from a smart space to mine processes of human habits, which they depict using process modeling techniques. Presence Infrared sensors were used as a single data source.…”

Section: Related Workmentioning

confidence: 99%

IoT-Based Activity Recognition for Process Assistance in Human-Robot Disaster Response

Rebmann

Rehse

Pinter

et al. 2020

Lecture Notes in Business Information Processing

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Mobile robots like drones or ground vehicles can be a valuable addition to emergency response teams, because they reduce the risk and the burden for human team members. However, the need to manage and coordinate human-robot team operations during ongoing missions adds an additional dimension to an already complex and stressful situation. BPM approaches can help to visualize and document the disaster response processes underlying a mission. In this paper, we show how data from a ground robot's reconnaissance run can be used to provide process assistance to the officers. By automatically recognizing executed activities and structuring them as an ad-hoc process instance, we are able to document the executed process and provide real-time information about the mission status. The resulting mission progress process model can be used for additional services, such as officer training or mission documentation. Our approach is implemented as a prototype and demonstrated using data from an ongoing research project on rescue robotics.

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Section: Related Workmentioning

confidence: 99%