Tools and Methods for Autonomous Analysis of Human Activities from Wearable Device Sensor Data

This figure show an overview of the project.
This figure show an overview of the project.

AIM OF THE PROJECT

AutoActive's aim is to develop tools, methods and algorithms making it easier to carry out research in order to obtain information on human activities based on data from multiple sensors. The tools to be developed will support future research and development in a wide range of applications.


In order to test and validate the developed tools, AutoActive will address two specific cases:

  1. Analysis of performance and technique within sports,
  2. Chronic disease management of patients with multiple sclerosis.

 

Project Management

Trine Margrethe Seeberg

Seniorforsker/dr.gradsstipendiat
481 95 922
Navn
Trine Margrethe Seeberg
Tittel
Seniorforsker/dr.gradsstipendiat
Telefon
481 95 922
Avdeling
Smart Sensor Systems
Kontorsted
Oslo
Company
SINTEF AS

Øyvind Sandbakk

Navn
Øyvind Sandbakk
Tittel
Organisasjon
NTNU

Andreas Austeng

Navn
Andreas Austeng
Tittel
Organisasjon
UiO

Elisabeth Gulowsen Celius

Navn
Elisabeth Gulowsen Celius
Tittel
Organisasjon
OUS

Stine Marit Moen

Navn
Stine Marit Moen
Tittel
Organisasjon

Jan Kocbach

Navn
Jan Kocbach
Tittel
Organisasjon
Olympiatoppen