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User feedback system for emergency alarms in mobile health networks
conference contribution
posted on 2017-01-01, 00:00 authored by James KangActivity Recognition (AR), Internet of Things (IoT), and speech
recognition are emerging technologies in the context of wearable
devices and Mobile health (mHealth) networks. Applications of
mHealth sensors on human bodies can involve the measurement
of physiological data, and may be utilized to initiate an alarm in
an emergency health situation. AR devices such as accelerometers
may also be used for a similar application in determining the
activity and posture status of the user. However, there is always
the possibility of false alarms, and to avoid these occurrences, we
propose a user feedback system for alarm confirmation via a smart
device. As users may be unable to physically respond in some
situations, such as a state of immobility from injury, this paper
proposes to improve the user feedback system with a voice
confirmation functionality utilizing speech recognition embedded
within smart devices. The potentials of this user feedback system
in mHealth can not only contribute towards improve the alarm
accuracy, but may reduce the occurrence of false alarms. Its
functionality can also be enhanced via real-time communication
with their health service provider who can assess the user health
status with the data from the sensors.
recognition are emerging technologies in the context of wearable
devices and Mobile health (mHealth) networks. Applications of
mHealth sensors on human bodies can involve the measurement
of physiological data, and may be utilized to initiate an alarm in
an emergency health situation. AR devices such as accelerometers
may also be used for a similar application in determining the
activity and posture status of the user. However, there is always
the possibility of false alarms, and to avoid these occurrences, we
propose a user feedback system for alarm confirmation via a smart
device. As users may be unable to physically respond in some
situations, such as a state of immobility from injury, this paper
proposes to improve the user feedback system with a voice
confirmation functionality utilizing speech recognition embedded
within smart devices. The potentials of this user feedback system
in mHealth can not only contribute towards improve the alarm
accuracy, but may reduce the occurrence of false alarms. Its
functionality can also be enhanced via real-time communication
with their health service provider who can assess the user health
status with the data from the sensors.
