Sensing behavioral change over time: Using within-person variability features from mobile sensing to predict personality traits
Personality traits describe individual differences in patterns of thinking, feeling, and
behaving (" between-person" variability). But individuals also show changes in their own …
behaving (" between-person" variability). But individuals also show changes in their own …
Bottom-up investigation: Human activity recognition based on feet movement and posture information
R De Pinho André, PHFS Diniz, H Fuks - Proceedings of the 4th …, 2017 - dl.acm.org
Human Activity Recognition (HAR) research on feet posture and movement information has
seen an intense growth during the last five years, drawing attention of fields such as …
seen an intense growth during the last five years, drawing attention of fields such as …
SHMO: A seniors health monitoring system based on energy-free sensing
F Xiao, Q Miao, X Xie, L Sun, R Wang - Computer Networks, 2018 - Elsevier
The past decades have witnessed the advancement of Wireless Sensor Networks (WSNs)
promoting many potential applications in the fields of smart healthcare. Through WSNs …
promoting many potential applications in the fields of smart healthcare. Through WSNs …
Neat activity detection using smartwatch at low sampling frequency
Our paper aims to build a classification model to discern the typical NEAT (Non-Exercise
Activity Thermogenesis) activities done in a home setting. The concept of NEAT is broadly …
Activity Thermogenesis) activities done in a home setting. The concept of NEAT is broadly …
NEAT activity detection using smartwatch
This paper presents a system for distinguishing non-exercise activity thermogenesis (NEAT)
and non-NEAT activities at home. NEAT includes energy expended on activities apart from …
and non-NEAT activities at home. NEAT includes energy expended on activities apart from …
Using foot and knee movement and posture information to mitigate the probability of injuries in functional training
Foot and Knee pain have been associated with numerous orthopedic pathologies and
injuries of the lower limbs. From street running to CrossFit functional training, these common …
injuries of the lower limbs. From street running to CrossFit functional training, these common …
Deep Learning Models for NEAT Activity Detection on Smartwatch
Our goal of this research focuses on exploring deep learning classification models for
recognizing and differentiating Non-Exercise Activity Thermogenesis (NEAT) activities …
recognizing and differentiating Non-Exercise Activity Thermogenesis (NEAT) activities …
A platform for assessing physical education activity engagement
Physical activity is an important part of the healthy development of children, improving
physical, social and emotional health. One of the main challenges faced by physical …
physical, social and emotional health. One of the main challenges faced by physical …
Adaptive coefficient-based kernelized network for personalized activity recognition
Human activity recognition (HAR) based on wearable devices has found wide applications
in fitness, health care, etc. Given the personalized wearing styles of such devices and …
in fitness, health care, etc. Given the personalized wearing styles of such devices and …
[PDF][PDF] Investigating the relevance of sensor selection: recognition of ADLs based on feet movement and posture information
In this work, we present an analysis of the relevance of different sensor types for the
recognition of activities of daily living based on foot movement and position. By conducting a …
recognition of activities of daily living based on foot movement and position. By conducting a …