Context-based Human Activity Recognition Using Multimodal Wearable Sensors
In the past decade, Human Activity Recognition (HAR) has been an important part of the regular day to day life of many people. Activity recognition has wide applications in the field of health care, remote monitoring of elders, sports, biometric authentication, e-commerce and more....
Main Author: | Bharti, Pratool |
---|---|
Format: | Others |
Published: |
Scholar Commons
2017
|
Subjects: | |
Online Access: | http://scholarcommons.usf.edu/etd/7000 http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=8197&context=etd |
Similar Items
-
Human Activity Recognition and Control of Wearable Robots
Published: (2018) -
A Comprehensive Analysis on Wearable Acceleration Sensors in Human Activity Recognition
by: Majid Janidarmian, et al.
Published: (2017-03-01) -
A Novel Wearable Sensor-Based Human Activity Recognition Approach Using Artificial Hydrocarbon Networks
by: Hiram Ponce, et al.
Published: (2016-07-01) -
A Simple, Inexpensive, Wearable Glove with Hybrid Resistive‐Pressure Sensors for Computational Sensing, Proprioception, and Task Identification
by: Josie Hughes, et al.
Published: (2020-06-01) -
Wearable Airbag System for Real-Time Bicycle Rider Accident Recognition by Orthogonal Convolutional Neural Network (O-CNN) Model
by: Joo Woo, et al.
Published: (2021-06-01)