# A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-deep-learning-approach-to-on-node-sensor-data-analytics-for-mobile-or-wearable/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Daniele Ravì,Charence Wong,Benny Lo,Guang‐Zhong Yang |
| Citations | 438 |
| DOI | 10.1109/jbhi.2016.2633287 |
| Fields | Computer Science,Engineering,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1109/jbhi.2016.2633287 |
| OpenAlex ID | https://openalex.org/W2563686712 |
| PMID | 28026792 |
| Type | article |
| Year | 2016 |

## Paper authors

- [Benny Lo](https://scholariq.org/researchers/benny-lo/)
- [Guang‐Zhong Yang](https://scholariq.org/researchers/guang-zhong-yang/)

## Paper journal

- [IEEE Journal of Biomedical and Health Informatics](https://scholariq.org/journals/ieee-journal-of-biomedical-and-health-informatics/)

## Paper primary topic

- [Context-Aware Activity Recognition Systems](https://scholariq.org/topics/context-aware-activity-recognition-systems/)

## Paper topics

- [Context-Aware Activity Recognition Systems](https://scholariq.org/topics/context-aware-activity-recognition-systems/)
- [Non-Invasive Vital Sign Monitoring](https://scholariq.org/topics/non-invasive-vital-sign-monitoring/)
- [Physical Activity and Health](https://scholariq.org/topics/physical-activity-and-health/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.