
The work investigates the application of artificial neural networks and logistic regression for the recognition of activities performed by room occupants. KNX (Konnex) standard-based devices were selected for smart home automation and data collection. The obtained data from these devices (Humidity, CO2, temperature) were used in combination with two wearable gadgets to classify specific activities performed by the room occupant. The obtained classifications can benefit the occupant by monitoring the wellbeing of elderly residents and providing optimal air quality and temperature by utilizing heating, ventilation, and air conditioning control. The obtained results yield accurate classification.
TP1-1185, Article, Heating, Wearable Electronic Devices, activity recognition; artificial neural network; classification; deep learning; intelligent buildings; logistic regression; prediction; smart homes, Air Pollution, intelligent buildings, Humans, Air Conditioning, Human Activities, activity recognition, Aged, logistic regression, Chemical technology, Temperature, deep learning, Humidity, prediction, Carbon Dioxide, Ventilation, Logistic Models, smart homes, classification, Neural Networks, Computer, artificial neural network
TP1-1185, Article, Heating, Wearable Electronic Devices, activity recognition; artificial neural network; classification; deep learning; intelligent buildings; logistic regression; prediction; smart homes, Air Pollution, intelligent buildings, Humans, Air Conditioning, Human Activities, activity recognition, Aged, logistic regression, Chemical technology, Temperature, deep learning, Humidity, prediction, Carbon Dioxide, Ventilation, Logistic Models, smart homes, classification, Neural Networks, Computer, artificial neural network
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 12 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
