Activity recognition and resident identification in smart home environment
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Summary
Activity recognition and resident identification in smart home environment is a master's thesis[1].
Key Facts
- Activity recognition and resident identification in smart home environment's instance of is recorded as master's thesis[2].
- Activity recognition and resident identification in smart home environment was published by Research Bank[3].
- Activity recognition and resident identification in smart home environment's place of publication is recorded as Auckland[4].
- Activity recognition and resident identification in smart home environment's language of work or name is recorded as English[5].
- Activity recognition and resident identification in smart home environment's country of origin is recorded as New Zealand[6].
- Activity recognition and resident identification in smart home environment was published on 2020[7].
- Activity recognition and resident identification in smart home environment's main subject is New Zealand[8].
- Activity recognition and resident identification in smart home environment's main subject is Cognitive robotics[9].
- Activity recognition and resident identification in smart home environment's main subject is geriatrics[10].
- Activity recognition and resident identification in smart home environment's main subject is machine learning[11].
- Activity recognition and resident identification in smart home environment's main subject is elderly people[12].
- Activity recognition and resident identification in smart home environment's work available at URL is recorded as https://www.researchbank.ac.nz/handle/10652/4914[13].
- Activity recognition and resident identification in smart home environment's title is recorded as Activity recognition and resident identification in smart home environment[14].
- Activity recognition and resident identification in smart home environment's author name string is recorded as Venkatesh Subramanya Kashyap[15].
- Activity recognition and resident identification in smart home environment's thesis submitted to is recorded as Unitec Institute of Technology[16].
- Activity recognition and resident identification in smart home environment's on focus list of Wikimedia project is recorded as NZThesisProject[17].
- Activity recognition and resident identification in smart home environment's copyright status is recorded as copyrighted[18].
- Activity recognition and resident identification in smart home environment's online access status is recorded as open access[19].
- Activity recognition and resident identification in smart home environment's thesis committee member is recorded as Guillermo Ramirez-Prado[20].
- Activity recognition and resident identification in smart home environment's thesis committee member is recorded as Bashar Barmada[21].
- Activity recognition and resident identification in smart home environment's thesis submitted for degree is recorded as Master of Computing[22].
Body
Designation and Status
Activity recognition and resident identification in smart home environment's instance of is recorded as master's thesis[2].