ArticleSensors (Basel, Switzerland)2015
Energy-Efficient Integration of Continuous Context Sensing and Prediction into Smartwatches.
Article in Sensors (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Understanding Smartwatch Battery Utilization in the Wild.Sensors (Basel, Switzerland) · 2020Article
- A Validation Study of Freezing of Gait (FoG) Detection and Machine-Learning-Based FoG Prediction Using Estimated Gait Characteristics with a Wearable Accelerometer.Sensors (Basel, Switzerland) · 2018Article
- A Novel GMM-Based Behavioral Modeling Approach for Smartwatch-Based Driver Authentication.Sensors (Basel, Switzerland) · 2018Article
- A low-cost multimodal head-mounted display system for neuroendoscopic surgery.Brain and behavior · 2018Article
- A Radar-Based Smart Sensor for Unobtrusive Elderly Monitoring in Ambient Assisted Living Applications.Biosensors · 2017Article
- mCerebrum: A Mobile Sensing Software Platform for Development and Validation of Digital Biomarkers and Interventions.Proceedings of the ... International Conference on Embedded Networked Sensor Systems. International Conference on Embedded Networked Sensor Systems · 2017Article
- An Ultra-Low Power Turning Angle Based Biomedical Signal Compression Engine with Adaptive Threshold Tuning.Sensors (Basel, Switzerland) · 2017Article
- Location-Enhanced Activity Recognition in Indoor Environments Using Off the Shelf Smart Watch Technology and BLE Beacons.Sensors (Basel, Switzerland) · 2017Article
- Full On-Device Stay Points Detection in Smartphones for Location-Based Mobile Applications.Sensors (Basel, Switzerland) · 2016Article
- Recognizing the Operating Hand and the Hand-Changing Process for User Interface Adjustment on Smartphones.Sensors (Basel, Switzerland) · 2016Article
- Wearable Sensors for eLearning of Manual Tasks: Using Forearm EMG in Hand Hygiene Training.Sensors (Basel, Switzerland) · 2016Article
- On Curating Multimodal Sensory Data for Health and Wellness Platforms.Sensors (Basel, Switzerland) · 2016Article
- Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors.Sensors (Basel, Switzerland) · 2016Article
- Can smartwatches replace smartphones for posture tracking?Sensors (Basel, Switzerland) · 2015Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As the availability and use of wearables increases, they are becoming a promising platform for context sensing and context analysis. Smartwatches are a particularly interesting platform for this purpose, as they offer salient advantages, such as their proximity to the human body. However, they also have limitations associated with their small form factor, such as processing power and battery life, which makes it difficult to simply transfer smartphone-based context sensing and prediction models to smartwatches. In this paper, we introduce an energy-efficient, generic, integrated framework for continuous context sensing and prediction on smartwatches. Our work extends previous approaches for context sensing and prediction on wrist-mounted wearables that perform predictive analytics outside the device. We offer a generic sensing module and a novel energy-efficient, on-device prediction module that is based on a semantic abstraction approach to convert sensor data into meaningful information objects, similar to human perception of a behavior. Through six evaluations, we analyze the energy efficiency of our framework modules, identify the optimal file structure for data access and demonstrate an increase in accuracy of prediction through our semantic abstraction method. The proposed framework is hardware independent and can serve as a reference model for implementing context sensing and prediction on small wearable devices beyond smartwatches, such as body-mounted cameras.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.