Computational modelling to track human emotion trajectories through time
2013 doctoral thesis by Ayesha Hakim at Massey University
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Computational modelling to track human emotion trajectories through time
Summary
Computational modelling to track human emotion trajectories through time is a doctoral thesis[1].
Key Facts
- Computational modelling to track human emotion trajectories through time authored Ayesha Hakim[2].
- Computational modelling to track human emotion trajectories through time's instance of is recorded as doctoral thesis[3].
- Computational modelling to track human emotion trajectories through time's publisher is recorded as Massey Research Online[4].
- Computational modelling to track human emotion trajectories through time's language of work or name is recorded as English[5].
- Computational modelling to track human emotion trajectories through time's country of origin is recorded as New Zealand[6].
- Computational modelling to track human emotion trajectories through time's publication date is recorded as +2013-00-00T00:00:00Z[7].
- Computational modelling to track human emotion trajectories through time's main subject is recorded as human–computer interaction[8].
- Computational modelling to track human emotion trajectories through time's main subject is recorded as emotion recognition[9].
- Computational modelling to track human emotion trajectories through time's Handle ID is recorded as 10179/5168[10].
- Computational modelling to track human emotion trajectories through time's title is recorded as Computational modelling to track human emotion trajectories through time[11].
- Computational modelling to track human emotion trajectories through time's copyright holder is recorded as Ayesha Hakim[12].
- Computational modelling to track human emotion trajectories through time's thesis submitted to is recorded as Massey University[13].
- Computational modelling to track human emotion trajectories through time's on focus list of Wikimedia project is recorded as NZThesisProject[14].
- Computational modelling to track human emotion trajectories through time's copyright status is recorded as copyrighted[15].
- Computational modelling to track human emotion trajectories through time's thesis committee member is recorded as Hans Guesgen[16].
- Computational modelling to track human emotion trajectories through time's thesis committee member is recorded as Stephen Marsland[17].
Body
Designation and Status
Computational modelling to track human emotion trajectories through time's instance of is recorded as doctoral thesis[3].