Energy expenditure estimation using visual and inertial sensors

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Towards Human Energy Expenditure Estimation Using Smart Phone Inertial Sensors

This paper is focused on a machine-learning approach for estimating human energy expenditure during sport and normal daily activities. The paper presents technical feasibility assessment that analyses requirements and applicability of smart phone sensors to human energy expenditure. The paper compares and evaluates three different sensor configuration sets: (i) a heart rate monitor and two stan...

متن کامل

Estimation of Human Energy Expenditure Using Inertial Sensors and Heart Rate Sensor

This paper presents a method for estimation of human energy expenditure during normal daily activities as well as sports activities using wearable inertial sensor attached to the person’s thigh and chest as well as feasibility analysis of this method to be used as an application on an average smartphone. This is done by using one inertial sensor attached to the person’s thigh (standard smartpho...

متن کامل

Demonstration Paper: Accurate Energy Expenditure Estimation using Smartphone Sensors

Accurate and online Energy Expenditure Estimation (EEE) utilizing small wearable sensors is a difficult task with most existing schemes. In this work, we focus on accurate EEE for tracking ambulatory activities of a common smartphone user. We used existing smartphone sensors (accelerometer and barometer sensor), sampled at low frequency, to accurately detect EEE. Using Artificial Neural Network...

متن کامل

Energy Expenditure Estimation with Smartphone Body Sensors

Energy Expenditure Estimation (EEE) is an important step in tracking personal activity and preventing chronic diseases such as obesity, diabetes and cardiovascular diseases. Accurate and online EEE utilizing small wearable sensors is a difficult task, primarily because most existing schemes work offline or using heuristics. In this work, we focus on accurate EEE for tracking ambulatory activiti...

متن کامل

Step Length Estimation Using Handheld Inertial Sensors

In this paper a novel step length model using a handheld Micro Electrical Mechanical System (MEMS) is presented. It combines the user's step frequency and height with a set of three parameters for estimating step length. The model has been developed and trained using 12 different subjects: six men and six women. For reliable estimation of the step frequency with a handheld device, the frequency...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IET Computer Vision

سال: 2017

ISSN: 1751-9640,1751-9640

DOI: 10.1049/iet-cvi.2017.0112