Application of smart insoles for recognition of activities of daily living: a systematic review
Recent years have witnessed the increasing literature on using smart insoles in health and
well-being, and yet, their capability of daily living activity recognition has not been reviewed …
well-being, and yet, their capability of daily living activity recognition has not been reviewed …
Human activity recognition by using different deep learning approaches for wearable sensors
With the spread of wearable sensors, the solutions to the task of activity recognition by using
the data obtained from the sensors have become widespread. Recognition of activities …
the data obtained from the sensors have become widespread. Recognition of activities …
DeepHAR: a deep feed-forward neural network algorithm for smart insole-based human activity recognition
Health monitoring, rehabilitation, and fitness are just a few domains where human activity
recognition can be applied. In this study, a deep learning approach has been proposed to …
recognition can be applied. In this study, a deep learning approach has been proposed to …
Continuous identification of freezing of gait in Parkinson's patients using artificial neural networks and instrumented shoes
A Prado, SK Kwei, N Vanegas-Arroyave… - … on Medical Robotics …, 2021 - ieeexplore.ieee.org
Freezing of gait is an episodic phenomena faced by many patients with Parkinson's disease.
It is characterized by episodes during which patients are unable to generate effective …
It is characterized by episodes during which patients are unable to generate effective …
Free-living ambulatory activity classification: A comparative analysis of wrist-worn, insole-embedded, and phone-embedded sensors
TTH Duong, L Musacchia, D Uher… - 2022 9th IEEE RAS …, 2022 - ieeexplore.ieee.org
Wrist-worn and smartphone-embedded inertial sensors are among the most widely used
sensing modalities for activity classification. Insoles instrumented with inertial and force …
sensing modalities for activity classification. Insoles instrumented with inertial and force …
An incorporation of deep temporal convolutional networks with hidden markov models post-processing for sensor-based human activity recognition
L Trinh, B Ha - Proceedings of the 11th International Symposium on …, 2022 - dl.acm.org
The use of sensors for human activity recognition (HAR) is one of the most active research
fields. Several machine learning techniques for classifying human actions have been …
fields. Several machine learning techniques for classifying human actions have been …
Artificial neural network for human activity recognition by use of smart insoles
Abstract Human Activity Recognition (HAR) is an area with high interest. It can be used, for
example, for medical purposes, for rehabilitation, for monitoring in sports as well as for …
example, for medical purposes, for rehabilitation, for monitoring in sports as well as for …
[图书][B] Instrumented Footwear and Machine Learning for Gait Analysis and Training
JAP de la Mora - 2021 - search.proquest.com
Gait analysis allows clinicians and researchers to quantitatively characterize the kinematics
and kinetics of human movement. Devices that quantify gait can be either portable, such as …
and kinetics of human movement. Devices that quantify gait can be either portable, such as …
Human action detection in temporal data
S Babakhani - thesis.unipd.it
This thesis addresses the challenge of estimating caloric expenditure from videos capturing
individuals engaging in a variety of activities, ranging from mild to intense exercises. The …
individuals engaging in a variety of activities, ranging from mild to intense exercises. The …