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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