2017
DOI: 10.4108/eai.7-9-2017.153063
|View full text |Cite
|
Sign up to set email alerts
|

Designing Wearable Sensing Platforms for Healthcare in a Residential Environment

Abstract: Wearable technologies are valuable tools that can encourage people to monitor their own well-being and facilitate timely health interventions. In this paper, we present SPW-2; a low-profile versatile wearable sensor that employs two ultra low power accelerometers and an optional gyroscope. Designed for minimum maintenance and a long-term operation outside the laboratory, SPW-2 is able to offer a battery lifetime of multiple months. Measurements on its wireless performance in a real residential environment with… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
53
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
4
3
1

Relationship

3
5

Authors

Journals

citations
Cited by 39 publications
(53 citation statements)
references
References 28 publications
0
53
0
Order By: Relevance
“…However, low power accelerometers consume several orders of magnitude less power than low power gyroscopes. For example, the SPW-2 wearable sensor [48] employs the ADXL362 accelerometer and the LSM6DS0 gyroscope; ADXL362 consumes approximately 8 µW at 50 Hz while LSM6DS0 consumes approximately 2.3 mW at 59.5 Hz.…”
Section: Accelerometer Selection and Configurationmentioning
confidence: 99%
See 1 more Smart Citation
“…However, low power accelerometers consume several orders of magnitude less power than low power gyroscopes. For example, the SPW-2 wearable sensor [48] employs the ADXL362 accelerometer and the LSM6DS0 gyroscope; ADXL362 consumes approximately 8 µW at 50 Hz while LSM6DS0 consumes approximately 2.3 mW at 59.5 Hz.…”
Section: Accelerometer Selection and Configurationmentioning
confidence: 99%
“…Regardless of whether the raw data is transmitted wirelessly to the infrastructure or stored to a local flash memory, energy consumption scales with the amount of produced data. Indeed, different configurations of the acceleration sensor can make the battery lifetime of the wearable sensor last from a few days to few years [48]. Therefore, in cases of long experiments where battery lifetime is a concern, accelerometers should not use higher resolution and sampling frequency than necessary.…”
Section: Accelerometer Selection and Configurationmentioning
confidence: 99%
“…In order to evaluate the effect of these results on the energy consumption, we can use a rough estimation by an example device power profile. According to [17], the SPW-2 device has an idle power consumption of 8.6 µ W and approximately 20 mW when advertising at 5 dBm. The spared energy can be computed as a multiplication of a difference between advertising power and idle power (=19.9914 mW) and the spared time during connection initiation.…”
Section: Resultsmentioning
confidence: 99%
“…Each tile was assigned coordinates in Euclidean space, relative to the 'tile zero'. The users then wore the updated version of the SPHERE accelerometer sensor [16], as well as a camera. The users performed three unscripted 'free-living' experiments of varying length.…”
Section: B High Resolution Localisation Datasetmentioning
confidence: 99%
“…However, wrist-mounted accelerometer activity recognition is usually inferior to prediction from sensors mounted on different parts of the body [15]. Regardless, the wrist remains the least intrusive and most socially acceptable place to wear a sensor [16].…”
Section: Introductionmentioning
confidence: 99%