A Decade of Progress in Human Motion Recognition: A Comprehensive Survey From 2010 to 2020
The central perspective of this review is to categorize research in Human Motion Recognition (HMR) over the past decade into two significant categories: vision sensor-based (VS) methods and wearable sensor-based (WS) methods. Within each category, research is further assessed from the viewpoints of...
Main Authors: | Donghyeon Noh, Hojin Yoon, Donghun Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10384564/ |
Similar Items
-
Upper Extremity Motion-Based Telemanipulation with Component-Wise Rescaling of Spatial Twist and Parameter-Invariant Skeletal Kinematics
by: Donghyeon Noh, et al.
Published: (2024-01-01) -
Wearable Inertial Sensor-Based Hand-Guiding Gestures Recognition Method Robust to Significant Changes in the Body-Alignment of Subject
by: Haneul Jeon, et al.
Published: (2022-12-01) -
Maintenance robot motion control based on Kinect gesture recognition
by: Lun Ge, et al.
Published: (2019-10-01) -
Real-time LSTM-based Multi-dimensional Features Gesture Recognition
by: LIU Liang, PU Hao-yang
Published: (2021-08-01) -
Digitizing Human Motion via Bending Sensors toward Humanoid Robot
by: Jing Liu, et al.
Published: (2023-05-01)