Direkt zum Inhalt springen
login.png Login join.png Register    |
de | en
MyTUM-Portal
Technical University of Munich

Technical University of Munich

Sitemap > Bulletin Board > Diplomarbeiten, Bachelor- und Masterarbeiten > Master or Bachelor Thesis / IDP / FP: Deep Learning for Human Intention Recognition from RGBD video
up   Back to  News Board    previous   Browse in News  next    

Master or Bachelor Thesis / IDP / FP: Deep Learning for Human Intention Recognition from RGBD video

15.05.2020, Diplomarbeiten, Bachelor- und Masterarbeiten

Overarching goal of this thesis is to build a computational / mathematical model of Human Intentions in daily life.

This thesis will be carried out at the EI Chair of Media Technology (Prof. Steinbach)

Human Activities of Daily Living are driven by our underlying intentions. For example, the Intention of "making Pasta" spawns a sequence of activities like fetch pasta, boil it, fetch and chop vegetables for the sauce, and clean up after cooking. Correct and timely estimation of human intentions is critical for non-intrusive and anticipatory assistance by robots.

In this thesis, methods and models for human intention estimation shall be developed based on sensory observation of human activity and environment. Primarily RGBD data recorded in indoor environments should be used. Depending on availability, other sensors wore by people (e.g. IMU) and installed in the environment (RFID, motion detectors, etc.) may be fused together with RGBD data.

We will begin with publicly available datasets, e.g. Cornell CAD-120: http://pr.cs.cornell.edu/web3/CAD-120/. Self-recorded data may be used if required at a later stage.

Kontakt: rahul.chaudhari@tum.de

More Information

https://www.ei.tum.de/lmt/team/mitarbeiter/chaudhari-rahul/studentische-arbeiten/

Todays events

no events today.

Calendar of events