Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Health monitoring using gait phase effects

Byrne, Richard, Eslambolchilar, Parisa and Crossan, Andrew 2010. Health monitoring using gait phase effects. Presented at: PETRA '10 The 3rd International Conference on PErvasive Technologies Related to Assistive Environments, Samos, Greece, June 23 - 25, 2010. PETRA '10 Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments. ACM, Article No: 19. 10.1145/1839294.1839317

Full text not available from this repository.

Abstract

The need to monitor patients after they leave the hospital or clinics is of growing concern and doctors may need the facility to monitor certain patients more than others. For example patients with high blood pressure are sometimes fitted with a mobile monitor which can be used to track the patients blood pressure over time. Patients suffering from depression, however, may also need to be monitored to ensure that they are in a happy emotional state. In this paper we introduce an alternative approach to mood detection and tracking based on built-in accelerometer sensors found in common mobile phones. Our method can be seen to compliment the need to monitor such patients allowing for doctors to get in touch with them when their mood has altered. We build a system based on neural networks which takes the gait information and learns the associated mood of the user. This trained model is then used to detect the mood of the individuals. We demonstrate preliminary results on mood detection using a mobile prototype system.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics
Publisher: ACM
ISBN: 9781450300711
Last Modified: 04 Jun 2017 09:45
URI: http://orca-mwe.cf.ac.uk/id/eprint/99300

Citation Data

Cited 10 times in Google Scholar. View in Google Scholar

Cited 2 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item