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Gibson Chimamiwa

Tjänstetitel: Doktorand Organisation: Institutionen för naturvetenskap och teknik

E-post:

Telefon: 019 303411

Rum: T2248

Forskningsämne

Datavetenskap

Forskningsmiljöer

Centrum för tillämpade autonoma sensorsystem (AASS)

Om Gibson Chimamiwa

Gibson Chimamiwa is a PhD student at the Center for Applied Autonomous Sensor Systems (AASS) at Örebro University. He obtained his BSc Honours in Computer Science from Midlands State University in 2005 and a MSc in Information Systems from University of South Africa (UNISA) in 2011. Gibson’s current research focuses on human habit recognition using data collected from multiple sensors deployed in home environments.

Gibson is employed at Örebro University since 2018 as part of the Newbreed-Successful ageing interdisciplinary doctoral program, co-funded by the European Commission through the Marie Skłodowska-Curie Actions (MSCA COFUND).

Forskningsprojekt

Newbreed

Forskargrupper

Maskin Perception och Interaktion

Publikationer

Artiklar i tidskrifter | Konferensbidrag |

Artiklar i tidskrifter

Chimamiwa, G. , Alirezaie, M. , Pecora, F. & Loutfi, A. (2021). Multi-sensor dataset of human activities in a smart home environment. Data in Brief, 34.

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Konferensbidrag

Banaee, H. , Chimamiwa, G. , Alirezaie, M. & Loutfi, A. (2020). Explaining Habits and Changes of Activities in Smart Homes. Konferensbidrag vid Artificial Intelligence for Health, Personalised Medicine and Wellbeing (HELPLINE), in conjunction with ECAI 2020, Santiago de Compostela, Spain (Digital Conference), August 29 - September 8, 2020.

Fulltext i DiVA

Chimamiwa, G. , Alirezaie, M. , Banaee, H. , Köckemann, U. & Loutfi, A. (2019). Towards Habit Recognition in Smart Homes for People with Dementia. I: Ioannis Chatzigiannakis, Boris De Ruyter, Irene Mavrommati, Ambient Intelligence 15th European Conference, AmI 2019, Rome, Italy, November 13–15, 2019, Proceedings. Konferensbidrag vid 15th European Conference on Ambient Intelligence (AmI 2019), Rome, Italy, November 13-15, 2019 (ss. 363-369). Springer Nature.

Information via DOI