Internet of Things Enabled Technologies for Behaviour Analytics in Elderly Person Care: A Survey. - Lee Newcombe; Po Yang 001; Chris Carter 001; Martin Hanneghan (iThings/GreenCom/CPSCom/SmartData, 2017)

Experimental Analysis of Cost-Effective Mobile Sensing Technologies for Activity Analytics in Elderly Care. - Lee Newcombe; Po Yang 001; Chris Carter 001; Martin Hanneghan; Jun Qi 001 (HPCC/SmartCity/DSS, 2018)

Experimental Analysis of Artificial Neural Networks Performance for Physical Activity Recognition Using Belt and Wristband Devices. - Jun Qi 001; Yun Yang 003; Xiyang Peng; Lee Newcombe; Andrew Simpson 001; Po Yang 001 (EMBC, 2019)

A Hybrid Hierarchical Model for Accessing Physical Activity Recognition towards Free-living Environments. - Jun Qi 001; Hai-Ning Liang; Jianjun Chen; Xiyang Peng; Lee Newcombe; Po Yang 001 (ISPA/BDCloud/SocialCom/SustainCom, 2020)

An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure. - Jun Qi 001; Po Yang 001; Lee Newcombe; Xiyang Peng; Yun Yang 003; Zhong Zhao (Inf. Fusion, 2020)

Investigation of low-cost wearable Internet of Things enabled technology for physical activity recognition in the elderly. - Lee Newcombe (2020)