Mouse with Photo-Plethysmographic surfaces for unobtrusive stress monitoring

Chigira, Hiroshi; Kobayashi, Minoru; Maeda, Akira

doi:10.1109/icce-berlin.2012.6336529

Cited by 11 publications

(12 citation statements)

References 6 publications

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“…To achieve the pervasive HR monitoring during our daily beverage consumption, we propose a method to turn the surface of a drinkware into the HR monitoring sensor, based on the original surface-type Photoplethysmographic (PPG) technique [3,2]. As an integration target, we choose an ordinary double-layer tumbler that can be used for various kinds of beverages (water, tea, milk, fruit juice, beer, and so on).…”

Section: Hr Monitoring Through the Surface Of A Drinkwarementioning

confidence: 99%

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Heart rate monitoring through the surface of a drinkware

Chigira

Ihara

Kobayashi

et al. 2014

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

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There is a growing demand for daily heart rate (HR) monitoring in the fields of healthcare, fitness, activity recognition, and entertainment. Although various HR monitoring systems have been proposed, most of these employ a wearable device, which may be a burden and disturb one's daily living.To achieve the goal of pervasive HR monitoring in our daily living, we present the HR monitoring method through the surface of a drinkware. The proposed method employs the surface of a drinkware as a broad sensing region, by expanding the principal of a basic photo-based HR sensor. The sensing surface works even with a curved shape, and it can be applied on various types of drinkwares. This approach enables unobtrusive HR monitoring during the beverage consumption. As a prototype, we implemented the proposed method on an ordinary transparent tumbler, and evaluated its HR monitoring performance.

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Section: Hr Monitoring Through the Surface Of A Drinkwarementioning

confidence: 99%

“…To achieve the HR sensing through the devices, the surfacetype PPG sensing method has been proposed [3,2]. In this paper, by extending this sensing technique, and integrating it into an ordinary glass type drinkware, we introduce the drinkware-based HR monitoring.…”

Section: Introductionmentioning

confidence: 99%

Heart rate monitoring through the surface of a drinkware

Chigira

Ihara

Kobayashi

et al. 2014

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Self Cite

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“…Nowadays, most people spend several hours each day on the computer with mouse, therefore, a mouse with PPG sensor could be a good choice to monitor the daily health conditions of the user. Until now, only one research group designed a PC mouse with PPG sensor for monitoring mental stress of daily life [11]. In this device, PPG signals are transmitted to PC by wired connection; the output signals are not sufficiently strong due to the infrared light that is used instead of typical red light.…”

Section: Introductionmentioning

confidence: 99%

A Robust Algorithm for Real-Time Peak Detection of Photoplethysmograms Using a Personal Computer Mouse

Tran

Chung

2015

IEEE Sensors J.

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Monitoring the photoplethysmogram (PPG) signal is essential for cardiovascular patients in a hospital or at home, as well as for those working in front of a personal computer (PC) at the office every day. Therefore, we developed a wireless PPG mouse that consists of a PC mouse, PPG sensor, and Bluetooth mote. The sensor is located within the PC mouse therefore the structure of the ordinary mouse is not changed. A user's thumb can easily touch the surface of a sensor for PPG signal monitoring. However, it is challenging to process the signals collected from the PPG mouse, especially in cases where the mouse moves quickly or the user performs multiple actions on the mouse buttons. In this study, we propose a robust algorithm to detect the PPG peak under big motion artifact conditions. In the proposed algorithm, an adaptive method enables simultaneous detection of true peaks and eliminates fake peaks from the acquired PPG signal. Next, these detected error peaks can be corrected by a random error estimator. The combination of two sequential methods enhances the robustness of the algorithm for distinguishing irregular PPG patterns. The proposed algorithm presents an advantage for real-time applications and continuous heart rate monitoring systems using a wireless PPG sensor implemented in a PC mouse. . His current research interests include the design of ultra-low-power body sensor nodes with energy harvesting, wireless body sensor network, and biomedical signal processing.Wan-Young Chung received the B.Eng. and Master degrees in Electronic . His current research interests include wireless sensor networks, ubiquitous healthcare and automobile applications, smart lighting with visible light communication, and embedded systems. He is now the leader of team for next generation u-healthcare technology development, which is supported by the Brain Korea 21 (BK21) plus project.

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“…In the previous studies, problems such as weight of device, or whether the device is comfortable to wear or not are highly related to the acceptability and popularity of the users. Several later studies have proposed PPG detection on the side surface of the computer mouse [ 16 , 17 , 18 ]. However, users have to force their thumbs to contact the surface of the PPG sensor, which may not be comfortable.…”

Section: Introductionmentioning

confidence: 99%

A Pulse Rate Detection Method for Mouse Application Based on Multi-PPG Sensors

Lin

Chen

Lin

2017

Sensors

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Heart rate is an important physiological parameter for healthcare. Among measurement methods, photoplethysmography (PPG) is an easy and convenient method for pulse rate detection. However, as the PPG signal faces the challenge of motion artifacts and is constrained by the position chosen, the purpose of this paper is to implement a comfortable and easy-to-use multi-PPG sensor module combined with a stable and accurate real-time pulse rate detection method on a computer mouse. A weighted average method for multi-PPG sensors is used to adjust the weight of each signal channel in order to raise the accuracy and stability of the detected signal, therefore reducing the disturbance of noise under the environment of moving effectively and efficiently. According to the experiment results, the proposed method can increase the usability and probability of PPG signal detection on palms.

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Mouse with Photo-Plethysmographic surfaces for unobtrusive stress monitoring

Cited by 11 publications

References 6 publications

Heart rate monitoring through the surface of a drinkware

Heart rate monitoring through the surface of a drinkware

A Robust Algorithm for Real-Time Peak Detection of Photoplethysmograms Using a Personal Computer Mouse

A Pulse Rate Detection Method for Mouse Application Based on Multi-PPG Sensors

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