Autonomous Assistive Robot for Respiratory Rate Detection and Tracking

Flavia Benetazzo*, Alessandro Freddi, Andrea Monteriu, Panu Harmo, Ville Kyrki, Sauro Longhi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Assistive robotics has the objective to improve the quality of life of people in daily living, with a special aim to those who suffer of physical disabilities or cognitive impairment, which may be caused by an accident, disease or the natural process of ageing. Autonomous mobile robots can be adapted to work as assistive robots, because of their capabilities to navigate in unstructured environments and react to changes in it. In order to turn a mobile robot into an assistive robot, the contest of use and the set of functionalities to perform should be clearly identified, while limiting at the same time hardware complexity and costs, which are key factors against the application of assistive technologies into the real world. The present paper deals with the development of a home robot companion, an assistive robot, which is being realized at Universita Politecnica delle Marche: its main contribution is the implementation of both a stance detection and respiratory rate algorithm by using the information provided by non-invasive sensors, and their integration into a low cost robotic platform which can perform navigation, user identification and tracking. The overall result is an assistive mobile robot which can increase safety at home for the user.

Original languageEnglish
Title of host publicationAMBIENT ASSISTED LIVING
EditorsS Longhi, P Siciliano, M Germani, A Monteriu
PublisherSpringer International Publishing AG
Number of pages12
ISBN (Print)978-3-319-01118-9
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
EventItalian Forum on Ambient Assisted Living - Ancona, Italy
Duration: 1 Oct 2013 → …
Conference number: 4


ConferenceItalian Forum on Ambient Assisted Living
Abbreviated titleAAL
Period01/10/2013 → …

Cite this

Benetazzo, F., Freddi, A., Monteriu, A., Harmo, P., Kyrki, V., & Longhi, S. (2014). Autonomous Assistive Robot for Respiratory Rate Detection and Tracking. In S. Longhi, P. Siciliano, M. Germani, & A. Monteriu (Eds.), AMBIENT ASSISTED LIVING (pp. 61-72). Springer International Publishing AG.