NDLI: Comparative analysis study of human activity recognition using various techniques

Content Provider	IEEE Xplore Digital Library
Author	Hassan, M. Ahmad, T. Ali, S.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., Gov. Coll. Univ., Lahore, Pakistan (Hassan, M.; Ahmad, T.) \|\| Dept. of Comput. Sci., Univ. of Lahore, Lahore, Pakistan (Ali, S.)
Abstract	A number of efforts have been applied on human activity recognition such as face recognition and motion analysis. The major problems in recognition are: 1. Scale. 2. Shift. 3. Projection. Human Activities are identified by the pose of the body such as standing, sitting etc. and some of the activities are like the emotions, facial expressions etc. Generally, human activity recognition is achieved by two groups of instruments so far; one on the basis of wearable sensors and the other one on the basis of environment sensing instruments. Wearable sensors are used like accelerometers, gyroscopes, and microphones and environment sensing instruments we use video recorders, shock sensors etc. Since the installation of the environment sensing instruments is intrusive and quite expensive so Wearable sensors are preferred. The Human Activity is recognized by combining information of human pose, human location and elapsed time. The main objective of this research is to recognize and summarize various activities of the human body by the help of the various techniques like Machine Learning, Sensor Technology etc. It will be helpful in commercial use like the restaurants and food places full of the automated robots and many more. It is also helpful in Medical field like full automated nurse robots available for the patient care etc. it is also helpful in security purposes and many more.
Starting Page	83
Ending Page	86
File Size	413264
Page Count	4
File Format	PDF
ISBN	9781479957545
e-ISBN	9781479957552
DOI	10.1109/INMIC.2014.7097316
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-08
Publisher Place	Pakistan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robot sensing systems Shape Testing Support vector machines Transforms Computers
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Interactive emotion recognition using Support Vector Machine for human-robot interaction

Language identification of character images using machine learning techniques

Application of support vector machine to apple recognition using in apple harvesting robot

Vision-based obstacle detection using a support vector machine

On-line signature recognition approach based on wavelets and Support Vector Machines

Human Activity Recognition Using Local Shape Descriptors

Gait recognition using shape trace transform

Facial expression recognition using active shape models and support vector machines

Measuring impacts using Support Vector Machines on a standing humanoid robot

Comparative analysis study of human activity recognition using various techniques

Similar Documents

Interactive emotion recognition using Support Vector Machine for human-robot interaction

Language identification of character images using machine learning techniques

Application of support vector machine to apple recognition using in apple harvesting robot

Vision-based obstacle detection using a support vector machine

On-line signature recognition approach based on wavelets and Support Vector Machines

Human Activity Recognition Using Local Shape Descriptors

Gait recognition using shape trace transform

Facial expression recognition using active shape models and support vector machines

Measuring impacts using Support Vector Machines on a standing humanoid robot

Comparative analysis study of human activity recognition using various techniques