An Integrated Mobile System for Long-term Aerobic Activity Monitoring and Support in Daily Life
Attila Reiss, Ilias Lamprinos, Didier Stricker
Proceedings of the 11th IEEE International Conference on Ubiquitous Computing and Communications (IUCC) International Symposium on Advances in Ubiquitous Computing and Networking (AUCN-2012), June 25-27, Liverpool, United Kingdom

Abstract:

This paper presents a mobile and unobtrusive platform that enables the accurate monitoring of physical activities in daily life, and is integrated into a healthcare system supporting out-of-hospital services. The main focus of the paper is to describe and evaluate a complete data processing chain for recognizing different activities, and estimating their intensity level. To develop a mobile platform that is more applicable in real-life scenarios than systems in previous work, an additional other activity class is introduced to deal with various everyday, household and fitness activities. Evaluation of the proposed methods is done on a dataset recorded by 9 subjects performing 16 different activities, while wearing the mobile platform consisting of three IMUs, a HR-monitor and a mobile companion unit. Another important aspect of this work is the integration of the mobile platform with an EHR, providing access for both the clinician (e.g. to enter a patient’s medical record or to set up a care plan) and the patient (e.g. to watch assigned educational material). Feedback about the patient’s daily progress is also given both to the patient and the clinician, preserving or even increasing the patient’s motivation to follow the defined care plan, and providing valuable information on program adherence for the clinician.

An Integrated Mobile System for Long-term Aerobic Activity Monitoring and Support in Daily Life
Attila Reiss, Ilias Lamprinos, Didier Stricker
Proceedings of the 11th IEEE International Conference on Ubiquitous Computing and Communications (IUCC) International Symposium on Advances in Ubiquitous Computing and Networking (AUCN-2012), June 25-27, Liverpool, United Kingdom

Abstract:

This paper presents a mobile and unobtrusive platform that enables the accurate monitoring of physical activities in daily life, and is integrated into a healthcare system supporting out-of-hospital services. The main focus of the paper is to describe and evaluate a complete data processing chain for recognizing different activities, and estimating their intensity level. To develop a mobile platform that is more applicable in real-life scenarios than systems in previous work, an additional other activity class is introduced to deal with various everyday, household and fitness activities. Evaluation of the proposed methods is done on a dataset recorded by 9 subjects performing 16 different activities, while wearing the mobile platform consisting of three IMUs, a HR-monitor and a mobile companion unit. Another important aspect of this work is the integration of the mobile platform with an EHR, providing access for both the clinician (e.g. to enter a patient’s medical record or to set up a care plan) and the patient (e.g. to watch assigned educational material). Feedback about the patient’s daily progress is also given both to the patient and the clinician, preserving or even increasing the patient’s motivation to follow the defined care plan, and providing valuable information on program adherence for the clinician.