Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification

Jungman Chung; Wonjoon Oh; Dongyoub Baek; Sunwoong Ryu; Won Gu Lee; Hyunwoo Bang

doi:10.3791/56633

Conception et évaluation des lunettes actives de la prise alimentaire et de la Classification de ...

JoVE Journal
Engineering

A subscription to JoVE is required to view this content. Sign in or start your free trial.

JoVE Journal Engineering

Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification

Conception et évaluation des lunettes actives de la prise alimentaire et de la Classification de l’activité physique

Full Text

11,987 Views

07:47 min

February 14, 2018

DOI: 10.3791/56633-v

Jungman Chung¹, Wonjoon Oh², Dongyoub Baek³, Sunwoong Ryu², Won Gu Lee⁴, Hyunwoo Bang²

¹School of Mechanical and Aerospace Engineering,Seoul National University, ²Envisible, Inc., ³Curiosis, Inc., ⁴Department of Mechanical Engineering,Kyung Hee University

Please note that some of the translations on this page are AI generated. Click here for the English version.

Overview

This study presents a protocol for designing and manufacturing a glasses-type wearable device that detects patterns of temporalis muscle activities during food intake and other physical activities. This method aims to provide an objective way to monitor ingestible behaviors.

Key Study Components

Area of Science

Neuroscience
Wearable technology
Behavioral monitoring

Background

Monitoring food intake is crucial for understanding eating behaviors.
Existing methods may lack objectivity and automation.
Wearable devices can enhance data collection in real-time.
The temporalis muscle's activity is relevant for food intake detection.

Purpose of Study

To design a wearable device that detects muscle activity during eating.
To automate the monitoring of food intake patterns.
To provide an objective measurement tool for researchers.

Methods Used

Design and manufacturing of glasses-type device.
Integration of load cells in the device hinges.
Data collection procedures conducted by trained personnel.
Demonstration of the manufacturing process by a mechanical engineer.

Main Results

The device successfully detects temporalis muscle activity.
Patterns of food intake can be monitored automatically.
Objective data collection enhances research capabilities.
Demonstrated feasibility of the manufacturing process.

Conclusions

The glasses-type device is a promising tool for behavioral monitoring.
It provides an innovative approach to studying food intake.
Future research can build on this technology for broader applications.

Frequently Asked Questions

What is the main advantage of the wearable device?

The device allows for automatic and objective detection of muscle activity during food intake.

Who conducted the data collection?

Data collection was performed by Hak Yung Gu, a team member at the company.

What is the role of the mechanical engineer in this study?

Wonjoon Oh, the mechanical engineer, demonstrated the manufacturing procedure of the device.

How does this device contribute to neuroscience research?

It provides a new method for monitoring ingestible behaviors, enhancing data accuracy.

What type of data does the device collect?

The device collects data on temporalis muscle activity related to food intake.

Can this technology be applied to other physical activities?

Yes, the device is designed to monitor various physical activities beyond food intake.

Cette étude présente un protocole de conception et de fabrication d’un dispositif portable de verres de type qui détecte les patrons de l’apport alimentaire et autres activités physiques recommandées, à l’aide de capteurs insérés dans les deux charnières des verres.

L’objectif global de cette procédure est de concevoir et de fabriquer un dispositif portable de type lunettes qui détecte les modèles d’activités musculaires temporales pendant la prise de nourriture et d’autres activités physiques. Cette méthode peut aider à répondre à des questions clés dans le domaine du suivi des comportements ingérables tels que la détection de l’ingestion alimentaire pendant un repas. Le principal avantage de cette technique est que les schémas de l’activité musculaire temporale pendant la prise alimentaire peuvent être détectés automatiquement et objectivement à l’aide d’une paire de lunettes.

Le processus de fabrication sera démontré par Wonjoon Oh, un ingénieur mécanique de notre entreprise. La procédure de collecte des données sera effectuée par Hak Yung Gu, qui travaille également dans notre entreprise. La clé de l’expérience sont les modules de circuit qui doivent être fabriqués.

View the full transcript and gain access to thousands of scientific videos