Due to importantly beneficial effects on physical and mental health and strong association
with many rehabilitation programs, Physical Activity Recognition and Monitoring (PARM) …

Pervasive systems must offer an open, extensible, and evolving portfolio of services which
integrate sensor data from a diverse range of sources. The core challenge is to provide …

Due to importantly beneficial effects on physical and mental health and strong association
with many rehabilitation programs, Physical Activity Recognition and Measure (PARM) has …

With the advent of Internet of Things technologies and smart buildings, the need for building
automation systems that automatically performs computations without the intervention of …

The smarter homes of tomorrow promise to increase comfort, aid elderly and disabled
people, and help inhabitants save energy. Unfortunately, smart homes today are far from this …

Segmenting behavior-based sensor data and recognizing the activity that the data
represents are vital steps in all applications of human activity learning such as health …

Recognising human activities from sensors embedded in an environment or worn on bodies
is an important and challenging research topic in pervasive computing. Existing work on …

Recognising high-level human activities from low-level sensor data is a crucial driver for
pervasive systems that wish to provide seamless and distraction-free support for users …

Activity recognition is essential in providing activity assistance for users in smart homes.
While significant progress has been made for single-user single-activity recognition, it still …

Sensor-based activity recognition (AR) is a core problem with the research domain of smart
environments. It has, however, the potential to provide solutions to address the problems …