Abstract:HCI researchers lack low-latency and robust systems to support the design and development of interaction techniques using finger identification. We developed a low-cost prototype using piezo-based vibration sensors attached to each finger. By combining the events from an input device with the information from the vibration sensors we demonstrate how to achieve low-latency and robust finger identification. Our prototype was evaluated in a controlled experiment, using two keyboards and a touchpad, showing single… Show more
“…These consist of i) fve rings equipped with shock sensors that can detect subtle shock waves caused by typing motions and ii) a wristband equipped with a readout circuit. The output of the shock sensors is sent to the wristband based on wireless communication methods such as Wi-Fi [23], body channel communication [11], or WISP [5] to detect typing. However, batteries are necessary for each ring to drive the active components (e.g., communication modules); this makes the ring bulky and requires periodic charging.…”
Section: Related Work Wearable Keyboardsmentioning
confidence: 99%
“…First, the typing recognition rate is evaluated with only one person. To understand the recognition rate independent of individuals, we must conduct user studies with more than 10 participants, similar to previous ring-shaped keyboards [11,23]. Such a evaluation will help us to set parameters that can be used by anyone regardless of gender and age.…”
Section: Limitations and Future Workmentioning
confidence: 99%
“…As wearable devices (e.g., smartglasses and smartwatches) are being tightly interwoven into our daily lives, an easy-to-carry and always-available input device is desirable to interact with these devices [22,10,35]. A wireless ring-shaped keyboard, which supports text entry by detecting fnger typing, is one of the promising approaches [11,23]. This approach supports text input anytime and anywhere, since (a) the keyboard function is implemented within the form-factor of rings and wristbands, both of which are already widely accepted as accessories and (b) can be used on everyday surfaces (e.g., desk and knee).…”
Section: Introductionmentioning
confidence: 99%
“…However, previous wireless ring-shaped keyboards required batteries attached to each ring device to empower the active components (e.g., microcontrollers and wireless communication modules) [5,11,23]. The bulky batteries on the ring devices make them uncomfortable to wear and necessitate the users to charge them periodically.…”
TelemetRing is a batteryless and wireless ring-shaped keyboard that supports command and text entry in daily lives by detecting fnger typing on various surfaces. The proposed inductive telemetry approach eliminates bulky batteries or capacitors from the ring part. Each ring consists of a sensor coil (the ring part itself), 1-DoF piezoelectric accelerometer, and varactor diode; moreover, it has different resonant frequencies. Typing shocks slightly shift the resonant frequency, and these are detected by a wrist-mounted readout coil. 5-bit chord keyboard is realized by attaching fve sensor rings on fve fngers. Our evaluation shows that the prototype achieved the tiny (6 g, 3.5 cm 3) ring sensor and 89.7% of typing detection ratio.
“…These consist of i) fve rings equipped with shock sensors that can detect subtle shock waves caused by typing motions and ii) a wristband equipped with a readout circuit. The output of the shock sensors is sent to the wristband based on wireless communication methods such as Wi-Fi [23], body channel communication [11], or WISP [5] to detect typing. However, batteries are necessary for each ring to drive the active components (e.g., communication modules); this makes the ring bulky and requires periodic charging.…”
Section: Related Work Wearable Keyboardsmentioning
confidence: 99%
“…First, the typing recognition rate is evaluated with only one person. To understand the recognition rate independent of individuals, we must conduct user studies with more than 10 participants, similar to previous ring-shaped keyboards [11,23]. Such a evaluation will help us to set parameters that can be used by anyone regardless of gender and age.…”
Section: Limitations and Future Workmentioning
confidence: 99%
“…As wearable devices (e.g., smartglasses and smartwatches) are being tightly interwoven into our daily lives, an easy-to-carry and always-available input device is desirable to interact with these devices [22,10,35]. A wireless ring-shaped keyboard, which supports text entry by detecting fnger typing, is one of the promising approaches [11,23]. This approach supports text input anytime and anywhere, since (a) the keyboard function is implemented within the form-factor of rings and wristbands, both of which are already widely accepted as accessories and (b) can be used on everyday surfaces (e.g., desk and knee).…”
Section: Introductionmentioning
confidence: 99%
“…However, previous wireless ring-shaped keyboards required batteries attached to each ring device to empower the active components (e.g., microcontrollers and wireless communication modules) [5,11,23]. The bulky batteries on the ring devices make them uncomfortable to wear and necessitate the users to charge them periodically.…”
TelemetRing is a batteryless and wireless ring-shaped keyboard that supports command and text entry in daily lives by detecting fnger typing on various surfaces. The proposed inductive telemetry approach eliminates bulky batteries or capacitors from the ring part. Each ring consists of a sensor coil (the ring part itself), 1-DoF piezoelectric accelerometer, and varactor diode; moreover, it has different resonant frequencies. Typing shocks slightly shift the resonant frequency, and these are detected by a wrist-mounted readout coil. 5-bit chord keyboard is realized by attaching fve sensor rings on fve fngers. Our evaluation shows that the prototype achieved the tiny (6 g, 3.5 cm 3) ring sensor and 89.7% of typing detection ratio.
“…There are various approaches to finger identification, e.g., using color markers [20,68], wearable sensors [6,23,43], magnet [56]. However, wearing sensors or markers would be burdensome during daily activity.…”
Figure 1. a) DeepFisheye tracks 3D joint locations of multiple fingers near a touchscreen using a fisheye camera. Colored points on the touchscreen indicate the projected locations of the fingertips. b) Pipeline of DeepFisheye. Accurate hand postures were estimated by using intermediate depth images. The estimated hand postures were used for mid-air interaction, contact finger classification, and hand posture recognition.
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