Ambient intelligence: Technologies, applications, and opportunities
Ambient intelligence is an emerging discipline that brings intelligence to our everyday
environments and makes those environments sensitive to us. Ambient intelligence (AmI) …
environments and makes those environments sensitive to us. Ambient intelligence (AmI) …
How smart are our environments? An updated look at the state of the art
In this paper we take a look at the state of the art in smart environments research. The survey
is motivated by the recent dramatic increase of activity in the field, and summarizes work in a …
is motivated by the recent dramatic increase of activity in the field, and summarizes work in a …
Cross-modal distillation with audio–text fusion for fine-grained emotion classification using BERT and Wav2vec 2.0
D Kim, P Kang - Neurocomputing, 2022 - Elsevier
Fine-grained emotion classification for mood-and emotion-related physical-characteristics
detection and its application to computer technology using biometric sensors has been …
detection and its application to computer technology using biometric sensors has been …
Smart secure homes: a survey of smart home technologies that sense, assess, and respond to security threats
J Dahmen, DJ Cook, X Wang, W Honglei - Journal of reliable intelligent …, 2017 - Springer
Smart home design has undergone a metamorphosis in recent years. The field has evolved
from designing theoretical smart home frameworks and performing scripted tasks in …
from designing theoretical smart home frameworks and performing scripted tasks in …
Activity learning as a foundation for security monitoring in smart homes
Smart environment technology has matured to the point where it is regularly used in
everyday homes as well as research labs. With this maturation of the technology, we can …
everyday homes as well as research labs. With this maturation of the technology, we can …
Collegial activity learning between heterogeneous sensors
Activity recognition algorithms have matured and become more ubiquitous in recent years.
However, these algorithms are typically customized for a particular sensor platform. In this …
However, these algorithms are typically customized for a particular sensor platform. In this …
Co** with multiple residents in a smart environment
Smart environment research has resulted in many useful tools for modeling, monitoring, and
adapting to a single resident. However, many of these tools are not equipped for co** with …
adapting to a single resident. However, many of these tools are not equipped for co** with …
Dynamic privacy assessment in a smart house environment using multimodal sensing
Surveillance applications in private environments such as smart houses require a privacy
management policy if such systems are to be accepted by the occupants of the environment …
management policy if such systems are to be accepted by the occupants of the environment …
Using duration to learn activities of daily living in a smart home environment
Recognition of inhabitants' activities of daily living (ADLs) is an important task in smart
homes to support assisted living for elderly people aging in place. However, uncertain …
homes to support assisted living for elderly people aging in place. However, uncertain …
Power control schemes in wireless sensor networks for homecare e-health applications
Power control is an important research topic for ad-hoc Wireless Sensor Networks (WSNs).
In today's sophisticated and competitive wireless environment, the control of the energy …
In today's sophisticated and competitive wireless environment, the control of the energy …