# A Novel Deep Multifeature Extraction Framework Based on Attention Mechanism Using Wearable Sensor Data for Human Activity Recognition

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-novel-deep-multifeature-extraction-framework-based-on-attention-mechanism/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yang Wang,Hongji Xu,Yunxia Liu,Mengmeng Wang,Yuhao Wang,Yang Yang,Shuang Zhou,Jiaqi Zeng,Jie Xu,Shijie Li,Jianjun Li |
| Citations | 55 |
| DOI | 10.1109/jsen.2023.3242603 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4319663607 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Shijie Li](https://scholariq.org/researchers/shijie-li/)

## Paper journal

- [IEEE Sensors Journal](https://scholariq.org/journals/ieee-sensors-journal/)

## 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/)
- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)
- [Non-Invasive Vital Sign Monitoring](https://scholariq.org/topics/non-invasive-vital-sign-monitoring/)

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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.