Information Technology Reference
In-Depth Information
becoming increasingly popular the use of wearable devices such as smartwatches
with embedded inertial sensors, it is interesting to investigate how to combine them
with our current smartphone-based system in order to improve the recognition or
to add new activities that involve upper limbs such as typing, brushing teeth and
writing.
The outcome of the presented HAR system can be used in higher-level context-
aware applications. For example, when combined with location-based services
such as GPS or home presence sensors for achieving indoor and outdoor activ-
ity detection. Also, if activity information is merged with vital sign sensors, it
is possible develop apps for medical diagnostic and monitoring of ill patients
during their daily life without third-party supervision. Likewise, it is possible to
merge activity information with smartphone connectivity status such as incoming
calls/messages, in order to control the smartphone behavior when some specific
activities are occurring, e.g. to avoid receiving phone calls while users are running
or sleeping, and to automatically produce unavailability responses. Later, when
users activity has changed, the information can be provided in a timely manner.
On the other hand, we also propose the study of the interaction between two or
more users wearing the HAR recognition system in order to infer collective behav-
ior such as chatting, dancing, playing sports, etc. In conclusion, there is a wide
range of new possibilities and services that need to be explored where HAR can
contribute in their development.