Conference Program Home
  My Program

All Times EDT

Abstract Details

Activity Number: 119 - Statistics for Mobile and Wearable Device Data
Type: Invited
Date/Time: Monday, August 8, 2022 : 10:30 AM to 12:20 PM
Sponsor: Business and Economic Statistics Section
Abstract #320541
Title: Smartphone-Based Human Activity Recognition
Author(s): Jukka-Pekka Onnela*
Companies: Harvard T.H. Chan School of Public Health
Keywords: smartphone; physical activity; accelerometer; digital phenotyping; human activity recognition
Abstract:

Smartphones with their numerous built-in sensors enable continuous measurement of activities of daily living, making them especially well-suited for health research. Researchers have proposed various human activity recognition (HAR) methods aimed at translating measurements from smartphones into various types of physical activity. I will first provide an overview of existing approaches to smartphone-based HAR. I will then introduce our new walking recognition algorithm, which has been validated using various publicly available labelled datasets. I will also discuss its applications to central nervous system disorders.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2022 program