Top Tweets for #SmartphoneSensor

about 1 year ago

Mood😆 and eating 🍱 are two prominent factors that shape our daily life, health, and well-being. While the intersection of #Mood and #EatingBehavior has been extensively studied, it remains poorly understood through #SmartphoneSensor data, captured in #MobileFoodDiaries and #DigitalHealth applications. Our new paper takes a deeper look into this research gap by developing machine learning models using over 24K mood-while-eating reports captured from more than 700 participants across 8 countries🌍📊, via a mobile app📱 in the context of the #DiversityOne study. Read the paper here: https://t.co/XW5GQckWcU Learn more about #DiversityOne dataset here: https://t.co/34Q1hglrxP This long and rewarding collaboration, which spanned over two years from ideation to publication, was made possible with the help of Wageesha Bangamuarachchi (@WageeshaErangi) and Anju Chamantha (@a_chamantha) who lead the work, and also other amazing collaborators Haeeun Kim, Salvador Ruiz-Correa (@SalvadorRu78223), Indika Perera, and Daniel Gatica-Perez (@dgaticaperez). Department of Computer Science & Engineering, University of Moratuwa (@cse_uom), University of Moratuwa (@MoratuwaUni), University of Utah (@UUtah), IPICyT (@IPICYTciencia), ETH Zürich (@ETH, @ETH_en, @HEST), Idiap Research Institute (@Idiap_ch), EPFL (@EPFL, @EPFL_en) #digitalhealth #mobilehealth #mhealth #ehealth #smartphonesensing #ubicomp #mobilesensing #multimodalsensing #mobilefooddiaries #fooddiary #eatingbehavior #behaviormodeling #healthcare

lakmalbuddika's tweet photo. Mood😆 and eating 🍱 are two prominent factors that shape our daily life, health, and well-being. While the intersection of #Mood and #EatingBehavior has been extensively studied, it remains poorly understood through #SmartphoneSensor data, captured in #MobileFoodDiaries and #DigitalHealth applications.

Our new paper takes a deeper look into this research gap by developing machine learning models using over 24K mood-while-eating reports captured from more than 700 participants across 8 countries🌍📊, via a mobile app📱 in the context of the #DiversityOne study.

Read the paper here: https://t.co/XW5GQckWcU

Learn more about #DiversityOne dataset here: https://t.co/34Q1hglrxP

This long and rewarding collaboration, which spanned over two years from ideation to publication, was made possible with the help of Wageesha Bangamuarachchi (@WageeshaErangi) and Anju Chamantha (@a_chamantha) who lead the work, and also other amazing collaborators Haeeun Kim, Salvador Ruiz-Correa (@SalvadorRu78223), Indika Perera, and Daniel Gatica-Perez (@dgaticaperez).

Department of Computer Science & Engineering, University of Moratuwa (@cse_uom), University of Moratuwa (@MoratuwaUni), University of Utah (@UUtah), IPICyT (@IPICYTciencia), ETH Zürich (@ETH, @ETH_en, @HEST), Idiap Research Institute (@Idiap_ch), EPFL (@EPFL, @EPFL_en)

#digitalhealth #mobilehealth #mhealth #ehealth #smartphonesensing #ubicomp #mobilesensing #multimodalsensing #mobilefooddiaries #fooddiary #eatingbehavior #behaviormodeling #healthcare

240

The Better India

@thebetterindia

almost 2 years ago

Scientists at the Institute of Advanced Study in Science and Technology (IASST) have developed a groundbreaking tool for managing Parkinson’s disease. #Parkinsons #SmartphoneSensor #MedicalTechnology #HealthcareInnovation

thebetterindia's tweet photo. Scientists at the Institute of Advanced Study in Science and Technology (IASST) have developed a groundbreaking tool for managing Parkinson’s disease.

#Parkinsons #SmartphoneSensor #MedicalTechnology #HealthcareInnovation https://t.co/BYOdldHTho

Sensors MDPI @Sensors_MDPI

over 3 years ago

#highlycitedpaper LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes https://t.co/jxn78eE1wt @UP_university #HAR #LSTM #deeplearning #timeseriesdata #smartphonesensor #featureextraction

Sensors_MDPI's tweet photo. #highlycitedpaper
LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes
https://t.co/jxn78eE1wt
@UP_university
#HAR #LSTM #deeplearning #timeseriesdata #smartphonesensor #featureextraction https://t.co/3dM6EKQeMv

233

News18 Kannada

@News18Kannada

over 4 years ago

Marijuana: ಇನ್ಮುಂದೆ ಸ್ಮಾರ್ಟ್ಫೋನ್ ಸೆನ್ಸರ್ ಮೂಲಕ ಗಾಂಜಾ ಸೇವಿಸಿದವರನ್ನು ಪತ್ತೆಹಚ್ಚಬಹುದು! #Weed #Smartphonesensor https://t.co/fa3DEmkUR9

GoPhotonics @gophotonics

over 7 years ago

World’s Smallest 1D Time-of-Flight Distance Measurement & Proximity Sensing Module for Smartphones Read More: https://t.co/1XF9iK5GKV @amsAnalog #timeofflight #sensor #sensormodule #smartphones #proximitysensor #smartphonesensor #TOFsensor #MWC19

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