Personalized feedback based on automatic activity recognition from mixed-source raw sensor data

Harm op den Akker; Valerie M. Jones; Hermanus J. Hermens

Personalized feedback based on automatic activity recognition from mixed-source raw sensor data

Harm op den Akker
, Valerie M. Jones
, Hermanus J. Hermens

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

116 Downloads (Pure)

Abstract

We present a data set consisting of multiple wireless sensors that monitor movement and various types of bio signals, recorded from patients that suffer from Chronic Obstructive Pulmonary Disease (COPD). From this data, the goal is to derive appropriate feedback to the patient that will motivate them to achieve a healthy lifestyle and a good phyisical condition.

Original language	Undefined
Title of host publication	AIME (Artificial Intelligence In Medicine) 2009 International Workshop on Intelligent Data Analysis in Biomedicine and Pharmacology
Place of Publication	Verona, Italy
Publisher	Universita degli Studi di Verona
Pages	65-66
Number of pages	2
ISBN (Print)	not assigned
Publication status	Published - 19 Jul 2009
Event	International Workshop on Intelligent Data Analysis in Biomedicine and Pharmacology, IDAMAP 2009 - Verona, Italy Duration: 19 Jul 2009 → 19 Jul 2009

Publication series

Name
Publisher	Universita degli Studi di Verona

Workshop

Workshop	International Workshop on Intelligent Data Analysis in Biomedicine and Pharmacology, IDAMAP 2009
Abbreviated title	IDAMAP
Country/Territory	Italy
City	Verona
Period	19/07/09 → 19/07/09

Keywords

METIS-265763
EWI-16558
IR-68618

Access to Document

Cite this

@inproceedings{e9223aa17fd04b9eb906add6ceafa45f,

title = "Personalized feedback based on automatic activity recognition from mixed-source raw sensor data",

abstract = "We present a data set consisting of multiple wireless sensors that monitor movement and various types of bio signals, recorded from patients that suffer from Chronic Obstructive Pulmonary Disease (COPD). From this data, the goal is to derive appropriate feedback to the patient that will motivate them to achieve a healthy lifestyle and a good phyisical condition.",

keywords = "METIS-265763, EWI-16558, IR-68618",

author = "\{op den Akker\}, Harm and Jones, \{Valerie M.\} and Hermens, \{Hermanus J.\}",

year = "2009",

month = jul,

day = "19",

language = "Undefined",

isbn = "not assigned",

publisher = "Universita degli Studi di Verona",

pages = "65--66",

booktitle = "AIME (Artificial Intelligence In Medicine) 2009 International Workshop on Intelligent Data Analysis in Biomedicine and Pharmacology",

note = "International Workshop on Intelligent Data Analysis in Biomedicine and Pharmacology, IDAMAP 2009 ; Conference date: 19-07-2009 Through 19-07-2009",

}

op den Akker, H, Jones, VM & Hermens, HJ 2009, Personalized feedback based on automatic activity recognition from mixed-source raw sensor data. in AIME (Artificial Intelligence In Medicine) 2009 International Workshop on Intelligent Data Analysis in Biomedicine and Pharmacology. Universita degli Studi di Verona, Verona, Italy, pp. 65-66, International Workshop on Intelligent Data Analysis in Biomedicine and Pharmacology, IDAMAP 2009, Verona, Italy, 19/07/09.

Personalized feedback based on automatic activity recognition from mixed-source raw sensor data. / op den Akker, Harm; Jones, Valerie M.; Hermens, Hermanus J.
AIME (Artificial Intelligence In Medicine) 2009 International Workshop on Intelligent Data Analysis in Biomedicine and Pharmacology. Verona, Italy: Universita degli Studi di Verona, 2009. p. 65-66.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Personalized feedback based on automatic activity recognition from mixed-source raw sensor data

AU - op den Akker, Harm

AU - Jones, Valerie M.

AU - Hermens, Hermanus J.

PY - 2009/7/19

Y1 - 2009/7/19

N2 - We present a data set consisting of multiple wireless sensors that monitor movement and various types of bio signals, recorded from patients that suffer from Chronic Obstructive Pulmonary Disease (COPD). From this data, the goal is to derive appropriate feedback to the patient that will motivate them to achieve a healthy lifestyle and a good phyisical condition.

AB - We present a data set consisting of multiple wireless sensors that monitor movement and various types of bio signals, recorded from patients that suffer from Chronic Obstructive Pulmonary Disease (COPD). From this data, the goal is to derive appropriate feedback to the patient that will motivate them to achieve a healthy lifestyle and a good phyisical condition.

KW - METIS-265763

KW - EWI-16558

KW - IR-68618

M3 - Conference contribution

SN - not assigned

SP - 65

EP - 66

BT - AIME (Artificial Intelligence In Medicine) 2009 International Workshop on Intelligent Data Analysis in Biomedicine and Pharmacology

PB - Universita degli Studi di Verona

CY - Verona, Italy

T2 - International Workshop on Intelligent Data Analysis in Biomedicine and Pharmacology, IDAMAP 2009

Y2 - 19 July 2009 through 19 July 2009

ER -