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Hsiu, Min-Chieh; Wang, Chiuan; Huang, Deng-Yuan; Lin, Jiang‐Jen; Lin, Yu‐Chih; Yang, De-Nian; Hung, Yi‐Ping; Chen, Mike Y.

doi:10.1145/2935334.2935362

Cited by 15 publications

(1 citation statement)

References 16 publications

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“…Researchers have therefore explored augmented hardware, wearable hardware, or alternative sensing methods for detecting a user's touch force. These include device cases with embedded FSRs/strain gauges [15], fingermounted sensors [12,29], and correlations with inertial sensors [8,9,11,13,16].…”

Section: Introductionmentioning

confidence: 99%

Estimating Touch Force with Barometric Pressure Sensors

Quinn

2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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Finger pressure offers a new dimension for touch interaction, where input is defined by its spatial position and orthogonal force. However, the limited availability and complexity of integrated force-sensing hardware in mobile devices is a barrier to exploring this design space. This paper presents a synthesis of two features in recent mobile devices-a barometric sensor (pressure altimeter) and ingress protectionto sense a user's touch force. When a user applies force to a device's display, it flexes inward and causes an increase in atmospheric pressure within the sealed chassis. This increase in pressure can be sensed by the device's internal barometer. However, this change is uncontrolled and requires a calibration model to map atmospheric pressure to touch force. This paper derives such a model and demonstrates its viability on four commercially-available devices (including two with dedicated force sensors). The results show this method is sensitive to forces of less than 1 N, and is comparable to dedicated force sensors. CCS CONCEPTS • Human-centered computing → Ubiquitous and mobile computing systems and tools; Touch screens; • Hardware → Sensors and actuators.

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Section: Introductionmentioning

confidence: 99%

Estimating Touch Force with Barometric Pressure Sensors

Quinn

2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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Hemodynamic sensing of 3D fingertip force using PPG device on proximal part

Yoshimoto

Hinatsu

Kuroda

et al. 2017

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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This research proposed a novel method to estimate the 3D contact force of a fingertip using a photoplethysmogram (PPG) device on the proximal part of a finger. The proposed method detects non-pulsatile and pulsatile components of PPG signals, extracts eight feature values related to the contact force, and estimates the force by multiple linear regression. In the validation experiments, the participants wore a PPG device at the proximal part of the index finger and applied contact force. Then, the relationship between the contact force and PPG feature values was investigated. As a result, the system was found to be capable of estimating the 3D contact force with a root-mean-square error of 3.5 % of the maximum contact force.

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Hemodynamic Sensing of 3-D Fingertip Force by Using Nonpulsatile and Pulsatile Signals in the Proximal Part

Yoshimoto

Hinatsu

Kuroda

et al. 2018

IEEE Trans. Biomed. Circuits Syst.

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This study proposed a novel sensing method of 3-D contact force at a fingertip by using a photoplethysmogram (PPG) device on the proximal part of a finger. The proposed system detects nonpulsatile and pulsatile components of PPG signals from both sides of the proximal part, extracts 16 feature values related to the contact force, and estimates the 3-D force by using a multiple linear regression model. In the validation experiments, the participants wore a PPG device at the proximal parts of their index fingers and applied a contact force at the fingertips for the 11 types of touch actions. The results indicated that satisfactory agreements are observed between the system outputs and the reference forces by the calibrated force sensor. Moreover, the results revealed that the most effective number of feature values corresponded to six for the higher reproducible sensing. Although the development of the effective calibration method is expected to increase robustness, we realized that the proposed method can potentially be used for a 3-D input user interface.

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Cited by 15 publications

References 16 publications

Estimating Touch Force with Barometric Pressure Sensors

Estimating Touch Force with Barometric Pressure Sensors

Hemodynamic sensing of 3D fingertip force using PPG device on proximal part

Hemodynamic Sensing of 3-D Fingertip Force by Using Nonpulsatile and Pulsatile Signals in the Proximal Part

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