[dcchairs2016] Review of UbiComp/ISWC 2016 Doctoral School submission 121

[dcchairs2016 at ubicomp.org]

Paper  121 - Towards multimodal analysis of human behavior in crowded mingling scenarios using movement cues from wearable sensors and cameras
Reviewer 1 - Max Muhlhauser

Overall rating:  5  (scale is 1..6; 6 is best)

Pre-PC discussion (hidden from author)

   Potential to accept (will be discussed at PC meeting) 

Confidence

   Very confident - I am knowledgeable in the area 

Contribution to UbiComp

   The paper is somewhat borderline w.r.t. UbiComp; both image analysis and
   worn sensors shall be used for understanding crowd events.
 

Overall Rating

   5  (Probably accept: I would argue for accepting this paper.)

R&R Suitability (hidden from author)

   It would be possible to improve within 5 weeks, but difficult	 

The Review

   The paper aims at analyzing crowd events (parties, speed dating events,
   etc.) with different modalities, in particular image analysis (video
   cameras) and worn devices (accelerometers and proximity detection
   support). The PhD research shall forward the state of the art w.r.t.
   combined use of these modalities for better accuracy in detecting
   participants’ activities (gestures etc.), positions/encounters etc. As
   an important partial issue, the automatic association of wearables to
   persons shall be achieved with the help of the video data. In comparison
   to paper #115, the overall aims and research organization are less clear.
   On the other hand, the ultimate goal of “understanding crowd
   behavior” seems more well understood and somewhat more realistic (than
   the UX goal of #115); moreover, the section “developed work” is quite
   well presented and gives a very concise overview. If both papers get
   accepted, the similarities and differences w.r.t. ML approaches should be
   highlighted. 
    
 

Confidential Comments (Optional) (hidden from author)

 


To see the review, go to https://precisionconference.com/~ubicomp?goto=ubicomp16c