Design Summary - Analysis Draft #2
In the article
entitled "Force-Sensing Gloves Cloud Control An iPhone By Detecting
Gestures and How Objects Are Gripped," Owen (2019) mentions that Apple
wanted to create a glove technically capable of engaging with technologies for
individuals. This force sensing (FS) glove is made of fabric meshed with
conductive layers that sense the forces applied in the glove when the user
touches a surface. In addition, this glove will sense how much pressure is
applied and the number of fingers used. The author also states that Apple will
look at different ways a user can control an application without interacting
with the touchscreen. The FS glove will include conductive strands that are
woven together with normal threads and thus able to monitor contact outside
while the inside contains sensors for compression from the fingers. In the article
of Owen (2019), it also adds that FS glove has the capability to replace
handheld controllers in VR and AR. Although there is some information and
features were given from Owen (2019), there are no further explanation of the
advantages and disadvantages of the usage of FS gloves.
Besides Owen (2019), the creation of FS glove
were seen to have many advantages such as Ye, Seyedi, Cai, & Lai, (2015) study. This study was conducted on the FS
glove which was created for motorcycle riders due to the high risk of
motorcycle accidents such as failure in human perception, decision errors and
loss of control after an extensive ride. This article states that they were
focusing on FS glove that was able to provide real-time feedback for adjustment
of hand performance during the ride. Hence, with such problems, they had
invented an FS glove where the accuracy of hand action improved up to 80
percent and also will be able to work even in a high-speed working environment.
On top of that, the FS gloves are capable of tracking both force feedback and
hand actions at the same time and thus these major feedback factors able to
avoid expected accidents.
Apart from the creation of FS gloves for motorcycle
riders, the FS glove was created to benefit the disabled patient such as the
study of Da Silva, Gonçalves,
Mendes, & Correia (2011). Due to the number of cases of stroke in the year
2010 costing 73.7 billion dollars, this study uses the FS glove on stroke
patient to monitor the patient’s hand in actual time. Individuals with a medical
condition such as stroke will have limitations in hand movement to do the activity
on their own. Hence, this FS glove was designed to be uncomplicated and simple
for individuals with hand disabilities to use. Thus, glove preference of sizes,
material and styles can be easily produced. Thus, this study shows the creation
of FS gloves does benefit the patient and was a successful project.
Therefore, after analyzing the article of Ye et al., (2015) and Da Silva et al.,
(2011),
both study shows that the project of using FS gloves was a success and
effective. Hence, looking back to Owen (2019) study planned, it may be a great
plan which may bring great benefits and achievement such as the other studies.
However, the study of Owen (2019) was not further reviewed. Calibration test
was not done to define the baseline measurement to reduce inaccuracy which was
done on both studies of Ye et al., (2015) and Da Silva et al.,
(2011). Therefore,
the study of Owen (2019) may be considered incomplete and thus the outcome will
be unknown.
References:
Da Silva, A. F., Gonçalves, A. F., Mendes, P. M.,
& Correia, J. H. (2011). FBG sensing glove for monitoring hand posture. IEEE
Sensors Journal, 11(10), 2442–2448.
https://doi.org/10.1109/JSEN.2011.2138132
Owen, M. (2019). Force-sensing gloves could control
an iPhone by detecting gestures and how objects are gripped. Appleinsider. Retrieved
on 27 January 2020 from
https://appleinsider.com/articles/19/04/18/force-sensing-gloves-could-control-an-iphone-by-detecting-gestures-and-how-objects-are-gripped
Ye, Q., Seyedi, M., Cai, Z., & Lai, D. T. H.
(2015). Force-sensing glove system for measurement of hand forces during
motorbike riding. International Journal of Distributed Sensor Networks, 2015.
https://doi.org/10.1155/2015/545643
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