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Lightweight human activity recognition for ambient assisted living
Mohamad Reza Shahabian Alashti
, Mohammad Bamorovat Abadi
,
Patrick Holthaus
,
Catherine Menon
,
Farshid Amirabdollahian
Centre for AI and Robotics Research
School of Physics, Engineering & Computer Science
Department of Computer Science
Robotics Research Group
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
52
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Keyphrases
Human Activity Recognition
100%
Ambient Assisted Living
100%
Human Activities
75%
Ambient Assisted Living Systems
75%
Activity Recognition
50%
LeNet
50%
Assistive Robotics
25%
Recognition Method
25%
Classification Task
25%
Classification Methods
25%
Personal Autonomy
25%
Representation Method
25%
Data Representation
25%
Vision Transformer
25%
Skeleton Data
25%
Camera Views
25%
Bandwidth Resources
25%
Life Context
25%
Classification Model
25%
Computing Resources
25%
Recognition Accuracy
25%
Data Sampling
25%
Human Action
25%
Quality of Life
25%
Robot Perception
25%
Life Stages
25%
Life Safety
25%
Multiple Sensors
25%
Computer Science
Human Activity Recognition
100%
Ambient Assisted Living
100%
Activity Recognition
40%
Classification Method
20%
Vision Transformer
20%
Sampling Data
20%
Classification Task
20%
Recognition Accuracy
20%
Robot
20%
Input Data Type
20%
Representation Method
20%
Multiple Perspective
20%
Computing Resource
20%
Multiple Sensor
20%
Classification Models
20%