eWatch: a wearable sensor and notification platform

Maurer, U.; Rowe, Anthony; Smailagic, Asim; Siewiorek, D.P.

doi:10.1109/bsn.2006.24

Cited by 114 publications

(47 citation statements)

References 7 publications

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“…Our sensor platform, the eWatch (Figure 1), is based on the Philips LPC2106 ARM7 TDMI microcontroller, with 128kB of internal flash memory and 64kB of RAM [6]. The LPC2106 is a 32bit processor running at up to 60Mhz.…”

Section: Sensing Platformmentioning

confidence: 99%

Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions

Maurer¹,

Smailagic²,

Siewiorek³

et al. 2006

279

174

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Section: Sensing Platformmentioning

confidence: 99%

Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions

Maurer¹,

Smailagic²,

Siewiorek³

et al. 2006

279

174

View full text Add to dashboard Cite

show abstract

“…Such existing studies are not multipurpose and focus on specific use cases, such as electrodermal activity recognition [21], long term physical activity and sleep recognition [22], Parkinson diseases monitoring [23], eating habit tracking [24], indoor location estimation [25], and anomalous activity detection [26]. However, to our knowledge, these works do not provide a detailed discussion about the challenges of collecting the data for the experiments.…”

Section: Wrist-mounted Wearablesmentioning

confidence: 92%

Lesson Learned from Collecting Quantified Self Information via Mobile and Wearable Devices

Rawassizadeh

Momeni

Dobbins

et al. 2015

JSAN

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Abstract:The ubiquity and affordability of mobile and wearable devices has enabled us to continually and digitally record our daily life activities. Consequently, we are seeing the growth of data collection experiments in several scientific disciplines. Although these have yielded promising results, mobile and wearable data collection experiments are often restricted to a specific configuration that has been designed for a unique study goal. These approaches do not address all the real-world challenges of "continuous data collection" systems. As a result, there have been few discussions or reports about such issues that are faced when "implementing these platforms" in a practical situation. To address this, we have summarized our technical and user-centric findings from three lifelogging and Quantified Self data collection studies, which we have conducted in real-world settings, for both smartphones and smartwatches. In addition to (i) privacy and (ii) battery related issues; based on our findings we recommend further works to consider (iii) implementing multivariate OPEN ACCESS J. Sens. Actuator Netw. 2015, 4 316 reflection of the data; (iv) resolving the uncertainty and data loss; and (v) consider to minimize the manual intervention required by users. These findings have provided insights that can be used as a guideline for further Quantified Self or lifelogging studies.

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“…The schematic diagram of the hardware architecture of the wireless sensor node for WPMS is shown in figure 6 [93]. Another network protocol called Wearable Based Sensor Networks (WBSNs), based on IEEE 802.15.4 was introduced that had different probable applications like the ECG-based system, a wearable platform for light, audio, motion and temperature sensing [95]. Toumaz Technologies, UK devised a wireless system-on-chip integrated system where the transceiver operates between 862-870 MHz and 902-928 MHz ISM bands in European and North American countries respectively [96].…”

Section: Sensor Network For Wearable Flexible Sensorsmentioning

confidence: 99%

Wearable Flexible Sensors: A Review

2017

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Abstract-The paper provides a review on some of the significant research work done on wearable flexible sensors (WFS). Sensors fabricated with flexible materials have been attached to a person along with the embedded system to monitor a parameter and transfer the significant data to the monitoring unit for further analyses. The use of wearable sensors has played a quite important role to monitor physiological parameters of a person to minimize any malfunctioning happening in the body. The paper categorizes the work according to the materials used for designing the system, the network protocols and different types of activities that were being monitored. The challenges faced by the current sensing systems and future opportunities for the wearable flexible sensors regarding its market values are also briefly explained in the paper.

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eWatch: a wearable sensor and notification platform

Abstract: The eWatch is a wearable sensing, notification, and computing

Cited by 114 publications

References 7 publications

Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions

Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions

Lesson Learned from Collecting Quantified Self Information via Mobile and Wearable Devices

Wearable Flexible Sensors: A Review

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