Wearable handwriting input device using magnetic field

Han, Xinying; Seki, Hiroaki; Kamiya, Yûji; Hikizu, Masatoshi

doi:10.1016/j.precisioneng.2009.12.005

Cited by 19 publications

(16 citation statements)

References 6 publications

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“…M AGNETS have been used to track fingers [1], [2], styli [3], jewelry [4], vibrating beams [5], endoscopes [6], [7], catheters [8], tongues [9], jaws [10], bladders [11], heart valves [12], and joints [13]- [15], and have also been suggested for tracking other biological tissue such as muscle [16]. As demonstrated by this extensive formative work on magnet tracking, using permanent magnets as position markers is advantageous because there is no need to power them via wired or wireless power transmission.…”

Section: Introductionmentioning

confidence: 99%

Low-Latency Tracking of Multiple Permanent Magnets

2019

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Magnetic target tracking is a low-cost, portable, and passive method for tracking materials wherein magnets are physically attached or embedded without the need for line of sight. Traditional magnet tracking techniques use optimization algorithms to determine the positions and orientations of permanent magnets from magnetic field measurements. However, such techniques are constrained by high latencies, primarily due to the numerical calculation of the gradient. In this study, we derive the analytic gradient for multiple-magnet tracking and show a dramatic reduction in tracking latency. We design a physical system comprising an array of magnetometers and one or more spherical magnets. To validate the performance of our tracking algorithm, we compare the magnet tracking estimates with state-of-the-art motion capture measurements for each of four distinct magnet sizes. We find comparable position and orientation errors to state-of-the-art magnet tracking, but demonstrate increased maximum bandwidths of 336%, 525%, 635%, and 773% for the simultaneous tracking of 1, 2, 3, and 4 magnets, respectively. We further show that it is possible to extend the analytic gradient to account for disturbance fields, and we demonstrate the simultaneous tracking of 1 to 4 magnets with disturbance compensation. These findings extend the use of magnetic target tracking to high-speed, real-time applications requiring the tracking of one or more targets without the constraint of a fixed magnetometer array. This advancement enables applications such as low-latency augmented and virtual reality interaction, volitional or reflexive control of prostheses and exoskeletons, and simplified multi-degree-of-freedom magnetic levitation.

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Section: Introductionmentioning

confidence: 99%

Low-Latency Tracking of Multiple Permanent Magnets

2019

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“…For instance, Han et al [4] tracked a fingermounted magnet for handwriting input. Similarly, Abracadabra [5] used a finger-mounted magnet to control a watch.…”

Section: Magnetic Trackingmentioning

confidence: 99%

FingerPad

Chan

Liang

Tsai

et al. 2013

Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology

158

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We present FingerPad, a nail-mounted device that turns the tip of the index finger into a touchpad, allowing private and subtle interaction while on the move. FingerPad enables touch input using magnetic tracking, by adding a Hall sensor grid on the index fingernail, and a magnet on the thumbnail. Since it permits input through the pinch gesture, Fin-gerPad is suitable for private use because the movements of the fingers in a pinch are subtle and are naturally hidden by the hand. Functionally, FingerPad resembles a touchpad, and also allows for eyes-free use. Additionally, since the necessary devices are attached to the nails, FingerPad preserves natural haptic feedback without affecting the native function of the fingertips. Through user study, we analyze the three design factors, namely posture, commitment method and target size, to assess the design of the FingerPad. Though the results show some trade-off among the factors, generally participants achieve 93% accuracy for very small targets (1.2mm-width) in the seated condition, and 92% accuracy for 2.5mm-width targets in the walking condition.

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“…Functional ring form-factor devices were either wired (e.g., [8,11]) or included batteries for wireless communication and were thus bulky [12]. Han et al tracked a finger-mounted magnet for handwriting input [5]. Similarly, Harrison and Hudson used a fingerattached magnet for radial and 2D input for a watch device [6], and Ketabdar et al tracked a magnet in the space around a mobile phone [9].…”

Section: Ringsmentioning

confidence: 99%

Nenya

Ashbrook

Baudisch

White

2011

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

200

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We present Nenya, a new input device in the shape of a finger ring. Nenya provides an input mechanism that is always available, fast to access, and allows analog input, while remaining socially acceptable by being embodied in commonly worn items. Users make selections by twisting the ring and "click" by sliding it along the finger. The ring-the size of a regular wedding band-is magnetic, and is tracked by a wrist-worn sensor. Nenya's tiny size, eyesfree usability, and physical form indistinguishable from a regular ring make its use subtle and socially acceptable. We present two user studies (one-and two-handed) in which we studied sighted and eyes-free use, finding that even with no visual feedback users were able to select from eight targets.

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Wearable handwriting input device using magnetic field

Cited by 19 publications

References 6 publications

Low-Latency Tracking of Multiple Permanent Magnets

Low-Latency Tracking of Multiple Permanent Magnets

FingerPad

Nenya

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