Full-body gesture recognition using inertial sensors for playful interaction with small humanoid robot

2010 ◽  
Author(s):  
M D Cooney ◽  
C Becker-Asano ◽  
T Kanda ◽  
A Alissandrakis ◽  
H Ishiguro
Keyword(s):  
Gesture Recognition ◽  
Humanoid Robot ◽  
Inertial Sensors ◽  
Full Body

scholarly journals User-independent accelerometer-based gesture recognition for mobile devices

2013 ◽  
Vol 1 (3) ◽  
pp. 11-25 ◽  
Author(s):  
Xian Wang ◽  
Paula Tarrío ◽  
Ana María Bernardos ◽  
Eduardo Metola ◽  
José Ramón Casar
Keyword(s):  
Computational Complexity ◽  
Mobile Devices ◽  
Gesture Recognition ◽  
Inertial Sensors ◽  
Recognition Accuracy ◽  
State Of The Art ◽  
Smart Phone ◽  
Recognition System ◽  
Independent Manner ◽  
Wheeled Robot

Many mobile devices embed nowadays inertial sensors. This enables new forms of human-computer interaction through the use of gestures (movements performed with the mobile device) as a way of communication. This paper presents an accelerometer-based gesture recognition system for mobile devices which is able to recognize a collection of 10 different hand gestures. The system was conceived to be light and to operate in a user-independent manner in real time. The recognition system was implemented in a smart phone and evaluated through a collection of user tests, which showed a recognition accuracy similar to other state-of-the art techniques and a lower computational complexity. The system was also used to build a human-robot interface that enables controlling a wheeled robot with the gestures made with the mobile phone

Sensor-Based Integration of Full-Body Object Manipulation Based on Strategy Selection in a Life-Sized Humanoid Robot

2011 ◽  
Vol 23 (2) ◽  
pp. 239-248 ◽  
Author(s):  
Shunichi Nozawa ◽  
◽  
Ryohei Ueda ◽  
Yohei Kakiuchi ◽  
Kei Okada ◽  
...  
Keyword(s):  
Humanoid Robot ◽  
The Novel ◽  
Motion Generation ◽  
Multiple Strategies ◽  
Contact Points ◽  
Different Types ◽  
Reaction Forces ◽  
Novel Method ◽  
Manipulation Strategy ◽  
Full Body

The novel method we propose involves a humanoid robot manipulating objects of varying size and weight. How an object is manipulated is generally determined by size and weight. The motion generation system we developed 1) utilizes manipulation strategies defined by which contact points on the robot are to be used, 2) selects the adequate manipulation strategy based on the object, and 3) generates a full-body posture sequence for the humanoid robot with controlled reaction forces and full-body balance using the manipulation strategy as an initial condition. Our system enables the robot to manipulate an object of weight thanks to multiple strategies. Our method’s effectiveness is confirmed in experiments in which a humanoid robot manipulates six different types of objects.

scholarly journals Estimation of Full-Body Poses Using Only Five Inertial Sensors: An Eager or Lazy Learning Approach?

Sensors ◽  
2016 ◽  
Vol 16 (12) ◽  
pp. 2138 ◽  
Author(s):  
Frank Wouda ◽  
Matteo Giuberti ◽  
Giovanni Bellusci ◽  
Peter Veltink
Keyword(s):  
Inertial Sensors ◽  
Learning Approach ◽  
Lazy Learning ◽  
Full Body
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