Hamon: An activity recognition framework for health monitoring support at home

Wearable Wireless Health Monitoring: Current Developments, Challenges, and Future Trends

“…The health signs and activity recognition monitoring framework (Hamon) is an enabling prototype for health monitoring [59]. It has specifically been implemented as an activity-detection prototype using off-the-shelf accelerometers.…”

Wireless sensor networks for rehabilitation applications: Challenges and opportunities

“…They used a max-win voting strategy to classify seven features derived from the RSSI and to characterize the patient movement. Alhamid et al [28] used a 3 axis-accelerometer sensor network attached to different body segments in order to identify the patient posture (walking, standing, sitting, lying down or falling). They applied a K-Nearest Neighbor (KNN) [29] classifier to distinguish between features computed by each sensor separately.…”

“…Hamon (Health signs and Activity MONitoring) [28] is a realtime monitoring framework which can be used in several physical rehabilitation such as cardia rehabilitation and Parkinson's Disease rehabilitation. The main objective of this framework is to provide an open and flexible software for the development of applications which collect, analyze and present data collected by a WSN.…”

An automatic data mining method to detect abnormal human behaviour using physical activity measurements

“…In [26] a survey of activity recognition techniques using accelerometers for healthcare applications is reported. Many data mining classification techniques are used for activity recognition: decision trees [27,28]; Bayesian methods [29,30]; Nearest Neighbour [31,32]; Fuzzy Logic [33,34]; Neural networks [35,36] or Support Vector Machines (SVM) [37,38]. The most popular techniques according to [39] are the Hidden Markov Model (HMM) and the Conditional Random Field (CRF).…”