Human-Object Interaction Motion Dataset

1. This dataset contains:

•    ●  8 daily human-object interactions
•    ●  More than 4000 samples, about 2.4G
•    ●  More than 100 participants’ motion 
•    ●  3D skeleton sequences, recorded by inertial motion capture suit in 240fps
•    ●  Sample code for visualizing 3D skeleton sequences

2. Eight interaction motion and labels setting

Object properties	#labels	Labels meaning
Lifting a box for weight (A1)	6	0kg,5kg,10kg,15kg,20kg,25kg
Moving a bowl for fragility (A2)	3	Empty, Full of rice, Full of water
Walking for path width (A3)	3	Narrow, Medium, Wide
Fishing for length of rod (A4)	3	Short, Medium, Long
Pouring for type of liquid (A5)	3	Water, Shampoo, Rice
Bending for stiffness (A6)	3	Weak, Medium, Strong
Sitting for softness of chair (A7)	4	Hard stool, Soft stool, Horizontal stool, Yoga ball
Drinking for water amount (A8)	3	Empty, Half, Full

3. The diagram of the interactive action is as follows:

4. Data sample naming rules are as follows：AaaaSsssTtttPppp（e.g. A001S002T003P001）

•    ●  A(Action)：   Represents 8 different interaction motions.

•    ●  S(Subject)： Represents participants
•    ●  T(Task)：      Represents sub-tasks. In lifting and moving motion, it represents move the box or bowl to 4 platforms for different heights.
•                              In walking it represents “go forward” or “go back”.
•    ●  P(Property):  Object property label.

The datasets are released for academic research only, and are free to researchers from educational or research institutes for non-commercial purposes.

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