142
Internet of Things (IoT)
could respond immediately and are in continuous monitoring every second. Urgent response
will be helpful in abnormal activities, especially in the case of emergency. Table 8.1 shows
selection criteria for sensors based on the requirements of the living environment. These
sensors can be chosen based on the necessity, activity for which it is installed, and its efficiency and strength.
8.3.1 Fall Detection
This is one of the primary and the most basic requirement in AAL. The elderly are exceptionally fragile and because of diminished elements of the nerve frameworks, or due to
age-related maladies, they frequently are dependent, slow to respond, and confused. This
increases the danger of falls resulting in wounds. Frequently, the elderly aren’t aware that
they have fallen and require help. They may lie on the floor for quite a long time without
help, and in numerous cases this could lead to a long drawn out bout of hospitalization or
treatment, and now and then even to death. A ton of exertion has been focused on making
a fall identifier that would trigger an alert on the occasion of a fall. The primary prerequisites for the equipment and programming execution of such a fall locator are:
• Not to miss the occasion of a fall, that is, high affectability
• To minimize the quantity of false-positive cautions (the enlistment of a fall when
there is no fall), that is, high specificity
The principal prerequisite is coherent as the point of a fall locator in the perfect case is to
enlist the falls, that occur. In addition, as the fall could bring about a state of defenselessness or even debilitation, a quick response to such occasions is very important. In the
second case, a high number of false-positive alerts could trade-off between the framework
and the decrease of acknowledgment by the end clients. Diverse creators utilize distinctive
calculations and sensors to recognize the fall. The regularly utilized sensors are:
• Gyroscopes or accelerometers (Bagnasco et al. 2011; Bourke et al. 2010; Kangas
et al. 2008; Klenk et al. 2011; Li et al. 2009; Luštrek et al. 2009)
Long-term
Short-term
On-fly Immediate
Urgent response
Indicator
Months
Weeks
D ays
Hours Minutes
Seconds
Strange behavior recording
Behavior monitoring
Alarming events
Activity recognition
FIGURE 8.1
Sensor indicators for seniors and caretakers.
Internet of Things (IoT)
could respond immediately and are in continuous monitoring every second. Urgent response
will be helpful in abnormal activities, especially in the case of emergency. Table 8.1 shows
selection criteria for sensors based on the requirements of the living environment. These
sensors can be chosen based on the necessity, activity for which it is installed, and its efficiency and strength.
8.3.1 Fall Detection
This is one of the primary and the most basic requirement in AAL. The elderly are exceptionally fragile and because of diminished elements of the nerve frameworks, or due to
age-related maladies, they frequently are dependent, slow to respond, and confused. This
increases the danger of falls resulting in wounds. Frequently, the elderly aren’t aware that
they have fallen and require help. They may lie on the floor for quite a long time without
help, and in numerous cases this could lead to a long drawn out bout of hospitalization or
treatment, and now and then even to death. A ton of exertion has been focused on making
a fall identifier that would trigger an alert on the occasion of a fall. The primary prerequisites for the equipment and programming execution of such a fall locator are:
• Not to miss the occasion of a fall, that is, high affectability
• To minimize the quantity of false-positive cautions (the enlistment of a fall when
there is no fall), that is, high specificity
The principal prerequisite is coherent as the point of a fall locator in the perfect case is to
enlist the falls, that occur. In addition, as the fall could bring about a state of defenselessness or even debilitation, a quick response to such occasions is very important. In the
second case, a high number of false-positive alerts could trade-off between the framework
and the decrease of acknowledgment by the end clients. Diverse creators utilize distinctive
calculations and sensors to recognize the fall. The regularly utilized sensors are:
• Gyroscopes or accelerometers (Bagnasco et al. 2011; Bourke et al. 2010; Kangas
et al. 2008; Klenk et al. 2011; Li et al. 2009; Luštrek et al. 2009)
Long-term
Short-term
On-fly Immediate
Urgent response
Indicator
Months
Weeks
D ays
Hours Minutes
Seconds
Strange behavior recording
Behavior monitoring
Alarming events
Activity recognition
FIGURE 8.1
Sensor indicators for seniors and caretakers.