# Benny Lo

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/benny-lo/

## Facts

| Field | Value |
| --- | --- |
| Citations | 12,437 |
| Field | Context-Aware Activity Recognition Systems |
| h-index | 50 |
| i10-index | 167 |
| Last Known Institution | Imperial College London |
| OpenAlex ID | https://openalex.org/A5063187094 |
| ORCID iD | 0000-0002-5080-108X |
| Works | 304 |

## Researcher papers

- [Deep Learning for Health Informatics](https://scholariq.org/papers/deep-learning-for-health-informatics/)
- [Unobtrusive Sensing and Wearable Devices for Health Informatics](https://scholariq.org/papers/unobtrusive-sensing-and-wearable-devices-for-health-informatics/)
- [Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review](https://scholariq.org/papers/toward-pervasive-gait-analysis-with-wearable-sensors-a-systematic-review/)
- [A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices](https://scholariq.org/papers/a-deep-learning-approach-to-on-node-sensor-data-analytics-for-mobile-or-wearable/)
- [Sensor Positioning for Activity Recognition Using Wearable Accelerometers](https://scholariq.org/papers/sensor-positioning-for-activity-recognition-using-wearable-accelerometers/)
- [Epilepsy Seizure Prediction on EEG Using Common Spatial Pattern and Convolutional Neural Network](https://scholariq.org/papers/epilepsy-seizure-prediction-on-eeg-using-common-spatial-pattern-and/)
- [Security and Privacy for the Internet of Medical Things Enabled Healthcare Systems: A Survey](https://scholariq.org/papers/security-and-privacy-for-the-internet-of-medical-things-enabled-healthcare/)
- [Automatic congestion detection system for underground platforms](https://scholariq.org/papers/automatic-congestion-detection-system-for-underground-platforms/)
- [Emerging Wearable Interfaces and Algorithms for Hand Gesture Recognition: A Survey](https://scholariq.org/papers/emerging-wearable-interfaces-and-algorithms-for-hand-gesture-recognition-a/)
- [Deep learning for human activity recognition: A resource efficient implementation on low-power devices](https://scholariq.org/papers/deep-learning-for-human-activity-recognition-a-resource-efficient-implementation/)
- [Development of a Wireless Sensor Glove for Surgical Skills Assessment](https://scholariq.org/papers/development-of-a-wireless-sensor-glove-for-surgical-skills-assessment/)
- [Assessing Arthroscopic Skills Using Wireless Elbow-Worn Motion Sensors](https://scholariq.org/papers/assessing-arthroscopic-skills-using-wireless-elbow-worn-motion-sensors/)

## Researcher 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/)
- [Nutritional Studies and Diet](https://scholariq.org/topics/nutritional-studies-and-diet/)
- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)
- [Wireless Body Area Networks](https://scholariq.org/topics/wireless-body-area-networks/)

## Researcher university

- [Imperial College London](https://scholariq.org/institutions/imperial-college-london/)

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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.