Movement recognition technology as a method of assessing spontaneous general movements in high risk infants

C Marcroft, A Khan, ND Embleton, M Trenell… - Frontiers in …, 2015 - frontiersin.org
Preterm birth is associated with increased risks of neurological and motor impairments such
as cerebral palsy. The risks are highest in those born at the lowest gestations. Early …

The mobile fitness coach: Towards individualized skill assessment using personalized mobile devices

M Kranz, A Möller, N Hammerla, S Diewald… - Pervasive and Mobile …, 2013 - Elsevier
We report on our extended research on GymSkill, a smartphone system for comprehensive
physical exercising support, from sensor data logging, activity recognition to on-top skill …

Optimising sampling rates for accelerometer-based human activity recognition

A Khan, N Hammerla, S Mellor, T Plötz - Pattern Recognition Letters, 2016 - Elsevier
Real-world deployments of accelerometer-based human activity recognition systems need
to be carefully configured regarding the sampling rate used for measuring acceleration …

Qualitative activity recognition of weight lifting exercises

E Velloso, A Bulling, H Gellersen, W Ugulino… - Proceedings of the 4th …, 2013 - dl.acm.org
Research on activity recognition has traditionally focused on discriminating between
different activities, ie to predict which activity was performed at a specific point in time. The …

A hybrid hierarchical framework for gym physical activity recognition and measurement using wearable sensors

J Qi, P Yang, M Hanneghan, S Tang… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
Due to the many beneficial effects on physical and mental health and strong association with
many fitness and rehabilitation programs, physical activity (PA) recognition has been …

ClimbAX: skill assessment for climbing enthusiasts

C Ladha, NY Hammerla, P Olivier, T Plötz - Proceedings of the 2013 …, 2013 - dl.acm.org
In recent years the sport of climbing has seen consistent increase in popularity. Climbing
requires a complex skill set for successful and safe exercising. While elite climbers receive …

MotionMA: Motion modelling and analysis by demonstration

E Velloso, A Bulling, H Gellersen - … of the SIGCHI Conference on Human …, 2013 - dl.acm.org
Particularly in sports or physical rehabilitation, users have to perform body movements in a
specific manner for the exercises to be most effective. It remains a challenge for experts to …

Determining the single best axis for exercise repetition recognition and counting on smartwatches

BJ Mortazavi, M Pourhomayoun… - … on wearable and …, 2014 - ieeexplore.ieee.org
Due to the exploding costs of chronic diseasesstemming from physical inactivity, wearable
sensor systems toenable remote, continuous monitoring of individuals has increasedin …

Sensor-based gym physical exercise recognition: Data acquisition and experiments

A Hussain, K Zafar, AR Baig, R Almakki, L AlSuwaidan… - Sensors, 2022 - mdpi.com
Automatic tracking and quantification of exercises not only helps in motivating people but
also contributes towards improving health conditions. Weight training, in addition to aerobic …

COPDTrainer: a smartphone-based motion rehabilitation training system with real-time acoustic feedback

G Spina, G Huang, A Vaes, M Spruit… - Proceedings of the 2013 …, 2013 - dl.acm.org
Patient motion training requires adaptive, personalized exercise models and systems that
are easy to handle. In this paper, we evaluate a training system based on a smartphone that …