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Expansion of Smartwatch Touch Interface from Touchscreen to Around Device Interface Using Infrared Line Image Sensors.

Lim SC, Shin J, Kim SC, Park J - Sensors (Basel) (2015)

Bottom Line: However, the small form factor of a smartwatch limits the available interactive surface area.For complete touch-sensing solution, a gyroscope installed in the smartwatch is used to read the wrist gestures.Our system not only affords a novel experience for smartwatch users, but also provides a basis for developing other useful interfaces.

View Article: PubMed Central - PubMed

Affiliation: Device & System Research Center, Samsung Advanced Institute of Technology, 130 Samsung-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do 443-803, Korea. soochul.lim@samsung.com.

ABSTRACT
Touchscreen interaction has become a fundamental means of controlling mobile phones and smartwatches. However, the small form factor of a smartwatch limits the available interactive surface area. To overcome this limitation, we propose the expansion of the touch region of the screen to the back of the user's hand. We developed a touch module for sensing the touched finger position on the back of the hand using infrared (IR) line image sensors, based on the calibrated IR intensity and the maximum intensity region of an IR array. For complete touch-sensing solution, a gyroscope installed in the smartwatch is used to read the wrist gestures. The gyroscope incorporates a dynamic time warping gesture recognition algorithm for eliminating unintended touch inputs during the free motion of the wrist while wearing the smartwatch. The prototype of the developed sensing module was implemented in a commercial smartwatch, and it was confirmed that the sensed positional information of the finger when it was used to touch the back of the hand could be used to control the smartwatch graphical user interface. Our system not only affords a novel experience for smartwatch users, but also provides a basis for developing other useful interfaces.

No MeSH data available.


(a) Sample time signal while touching the back of the hand; (b) sample time signal while rotating the wrist (no touch); (c,d) DTW cost matrices of samples (a) and (b). The bottom-right corners of (c) and (d) show the final DTW distances of the two signals. It should be noted that (a) is more similar to the template with respect to the DTW distances.
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sensors-15-16642-f006: (a) Sample time signal while touching the back of the hand; (b) sample time signal while rotating the wrist (no touch); (c,d) DTW cost matrices of samples (a) and (b). The bottom-right corners of (c) and (d) show the final DTW distances of the two signals. It should be noted that (a) is more similar to the template with respect to the DTW distances.

Mentions: Because the smartwatch is worn on the wrist where a variety of motions frequently take place, the system may produce unwanted identification results. To determine whether a user is intentionally touching the back of his/her hand to interact with the watch, it is necessary to correctly detect the user’s touch status. To accomplish this, we captured the inertial motion signals from the gyroscopic sensor embedded in the smartwatch every 15 ms and measured the time-series similarity between a template signal and the incoming signal using a dynamic time warping (DTW) algorithm, which is robust for measuring time series similarity [24]. A temporal sequence of the y-axis gyroscopic data was stored as the template signal and compared with the incoming gyroscope data during the runtime. To achieve efficient operation of the algorithm on wearable devices, we employed a Sakoe-Chiba Band constraint [25] with a width of 10% of the template signal length. Figure 6 shows two examples of matched and unmatched incoming signals, respectively.


Expansion of Smartwatch Touch Interface from Touchscreen to Around Device Interface Using Infrared Line Image Sensors.

Lim SC, Shin J, Kim SC, Park J - Sensors (Basel) (2015)

(a) Sample time signal while touching the back of the hand; (b) sample time signal while rotating the wrist (no touch); (c,d) DTW cost matrices of samples (a) and (b). The bottom-right corners of (c) and (d) show the final DTW distances of the two signals. It should be noted that (a) is more similar to the template with respect to the DTW distances.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541898&req=5

sensors-15-16642-f006: (a) Sample time signal while touching the back of the hand; (b) sample time signal while rotating the wrist (no touch); (c,d) DTW cost matrices of samples (a) and (b). The bottom-right corners of (c) and (d) show the final DTW distances of the two signals. It should be noted that (a) is more similar to the template with respect to the DTW distances.
Mentions: Because the smartwatch is worn on the wrist where a variety of motions frequently take place, the system may produce unwanted identification results. To determine whether a user is intentionally touching the back of his/her hand to interact with the watch, it is necessary to correctly detect the user’s touch status. To accomplish this, we captured the inertial motion signals from the gyroscopic sensor embedded in the smartwatch every 15 ms and measured the time-series similarity between a template signal and the incoming signal using a dynamic time warping (DTW) algorithm, which is robust for measuring time series similarity [24]. A temporal sequence of the y-axis gyroscopic data was stored as the template signal and compared with the incoming gyroscope data during the runtime. To achieve efficient operation of the algorithm on wearable devices, we employed a Sakoe-Chiba Band constraint [25] with a width of 10% of the template signal length. Figure 6 shows two examples of matched and unmatched incoming signals, respectively.

Bottom Line: However, the small form factor of a smartwatch limits the available interactive surface area.For complete touch-sensing solution, a gyroscope installed in the smartwatch is used to read the wrist gestures.Our system not only affords a novel experience for smartwatch users, but also provides a basis for developing other useful interfaces.

View Article: PubMed Central - PubMed

Affiliation: Device & System Research Center, Samsung Advanced Institute of Technology, 130 Samsung-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do 443-803, Korea. soochul.lim@samsung.com.

ABSTRACT
Touchscreen interaction has become a fundamental means of controlling mobile phones and smartwatches. However, the small form factor of a smartwatch limits the available interactive surface area. To overcome this limitation, we propose the expansion of the touch region of the screen to the back of the user's hand. We developed a touch module for sensing the touched finger position on the back of the hand using infrared (IR) line image sensors, based on the calibrated IR intensity and the maximum intensity region of an IR array. For complete touch-sensing solution, a gyroscope installed in the smartwatch is used to read the wrist gestures. The gyroscope incorporates a dynamic time warping gesture recognition algorithm for eliminating unintended touch inputs during the free motion of the wrist while wearing the smartwatch. The prototype of the developed sensing module was implemented in a commercial smartwatch, and it was confirmed that the sensed positional information of the finger when it was used to touch the back of the hand could be used to control the smartwatch graphical user interface. Our system not only affords a novel experience for smartwatch users, but also provides a basis for developing other useful interfaces.

No MeSH data available.