The Final Final Draft

In the article entitled "Force-Sensing Gloves Cloud Control An iPhone By Detecting Gestures and How Objects Are Gripped," Owen (2019) mentions that Apple created 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 glove forces when the user touches a surface. Besides, 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 to control an application without interacting with the touchscreen. The FS glove will include conductive strands woven together with normal threads and monitor contact outside, while the inside contains sensors for compression from the fingers. According to Owen (2019), the FS glove has the capability to replace handheld controllers in Virtual Reality (VR) and Augmented Reality (AR). Although Owen (2019) explains the features such as the functions and how it is made, he does not explain the advantages of using the FS gloves.

In contrast, there are other benefits to the FS gloves. For example, in a study by Ye, Seyedi, Cai, & Lai (2015) reported that FS gloves were designed for motorcycle riders. This study was conducted on the FS glove 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 the team was focusing on FS glove that provided real-time feedback for adjustment of hand performance during the ride. Therefore, with these issues, the research team developed the FS gloves, where hand action precision improved to "80 per cent" and would also operate even in a high-speed working environment, according to Ye et al. (2015). On top of that, the FS gloves are capable of tracking both force feedback and hand actions simultaneously. Thus, with these major feedback factors, motorcyclists can avoid expected accidents. Furthermore, the study of Da Silva, Gonçalves, Mendes, & Correia (2011) using FS gloves were seen to benefit the disabled patient.

According to  Da Silva et al. (2011), the cost of a regular treatment for stroke cases in 2010 cost 73.7 billion dollars. The study implemented FS glove on stroke patients to improve their movements during rehabilitation while promoting self-confidence to prepare them when returning to the community. FS gloves improve movement and monitor the patient’s movement in actual time. This is because individuals with strokes faced weaknesses and disabilities to do an activity on their own. Hence, this FS glove was simply designed for individuals with hand disabilities. The glove preference of sizes, material, and styles can be easily produced. Therefore, this study shows FS gloves' creation did benefit the patient and was a successful project.

Therefore, in Ye et al. (2015) and Da Silva et al. (2011), both studies reported that using FS gloves was a success and effective. As a result, Owen (2019) study plan may be a great plan which may bring great benefits and achievement, such as the other studies. However, the study by Owen (2019) was not further reviewed. A calibration test was not done to define the baseline measurement to reduce inaccuracy 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