| Application of raw accelerometer data and machine-learning techniques to characterize human movement behavior: a systematic scoping review A Narayanan, F Desai, T Stewart, S Duncan, L Mackay Journal of Physical Activity and Health 17 (3), 360-383, 2020 | 86 | 2020 |
| A Dual-Accelerometer System for Classifying Physical Activity in Children and Adults. TOM Stewart, A Narayanan, L Hedayatrad, J Neville, L MacKay, ... Medicine and science in sports and exercise 50 (12), 2595-2602, 2018 | 73 | 2018 |
| Wear-time compliance with a dual-accelerometer system for capturing 24-h behavioural profiles in children and adults S Duncan, T Stewart, L Mackay, J Neville, A Narayanan, C Walker, ... International journal of environmental research and public health 15 (7), 1296, 2018 | 53 | 2018 |
| A Dual-Accelerometer System for Detecting Human Movement in a Free-living Environment. A Narayanan, TOM Stewart, L Mackay Medicine and Science in Sports and Exercise 52 (1), 252-258, 2020 | 44 | 2020 |
| Describing objectively measured intensive care nurses’ physical work activity behavioural patterns during a 12‐hr shift F Yu, A Narayanan, L Mackay, K Ward, A King, M Smith Journal of Clinical Nursing 29 (21-22), 4331-4342, 2020 | 16 | 2020 |
| Strongyloides, Dengue Fever, and Tuberculosis Conversions in New Zealand Police Deploying Overseas JT Visser, A Narayanan, B Campbell Journal of travel medicine 19 (3), 178-182, 2012 | 16 | 2012 |
| Understanding children’s perceptions of, and priorities for, healthy neighbourhoods in Aotearoa New Zealand: Study protocol for a cross-sectional study V Egli, S Mandic, T Pocock, A Narayanan, L Williams, T Clark, L Spasic, ... BMJ open 11 (6), e047368, 2021 | 5 | 2021 |
| Assessing the accuracy of activity classification using thigh-worn accelerometry: A validation study of ActiPASS in school-aged children C Lendt, P Hettiarachchi, PJ Johansson, S Duncan, CL Rasmussen, ... Journal of Physical Activity and Health 21 (10), 1092-1099, 2024 | 1 | 2024 |
| Using machine learning to explore the efficacy of administrative variables in prediction of subjective-wellbeing outcomes in New Zealand A Narayanan, T Stewart, S Duncan, G Pacheco | | 2024 |
| Modelling and prediction of NZ's population wellbeing using machine learning techniques. AN TL Rangahau Aranga: AUT Graduate Review 1 (1), 2022 | | 2022 |
| Protocol: Understanding children’s perceptions of, and priorities for, healthy neighbourhoods in Aotearoa New Zealand: study protocol for a cross-sectional study V Egli, S Mandic, T Pocock, A Narayanan, L Williams, T Clark, L Spasic, ... BMJ Open 11 (6), 2021 | | 2021 |
| Estimating accelerometer wear time in physical activity research: can machine learning improve traditional count-based methods? Stewart T, Narayanan A, Mackay L, Neville J, Duncan S, Walker C, Berry S ISBNPA 2019 Annual Meeting, 2019 | | 2019 |
| Population-specific algorithm development: do activity classification models developed in children generalise to the adult population (and vice versa) LM Tom Stewart¹, Anantha Narayanan¹ 6th International Conference on Ambulatory Monitoring of Physical Activity …, 2019 | | 2019 |
| Activity classification models developed in controlled laboratory settings: how well do they generalise to free-living conditions? N A, S T, M L, S Duncan 6th International Conference on Ambulatory Monitoring of Physical Activity …, 2019 | | 2019 |
| Application of machine learning in the measurement of free-living physical activity behaviours AN Tiruvisanallur Lakshmi Narayanan Auckland University of Technology, 2019 | | 2019 |
