Program Event

Session I: Wearables in Biomechnics
Plantar Biometrics for Edge Computing (15+5 questions)
FinePose: Fine-Grained Postural Muscle Profiling via Haptic Vibration Signals (15+5 questions)
Round table: Use of wearable in biomechanics (20 min)
10:00 AM - 10:45 AM
Coffee Break10:45 AM - 11:00 AM
Session II- Motion capturing and tracking
PetTrack: Tracking Pet Location and Activity Indoors(15+5 questions) Enabling Body-Centric Computing Applications with LED-to-Camera Communication(15+5 questions) Modelling of a multi-analyte wearable biosensor for glucose and cortisol(15+5 questions)
11:00 AM - 12:00 PM
Lunch Break12:00 PM - 01:00 PM
Keynote II Von Homer01:00 PM - 01:45 PM
Round-table with all authors and audience.01:45 PM - 02:30 PM

Keynote Sessions

Keynote I: How Will Your Technology be Used? Real World User-Centric Design - Strategic Implementation for Transformational Change

Dr. Meher Khan is an allergist-immunologist and innovative entrepreneur. She received her Masters in Health Care Innovation from the University of Pennsylvania - Wharton and the Perelman School of Medicine, Philadelphia, USA and post doctoral specialization from Thomas Jefferson University, Philadelphia, USA.
Solving complex health problems requires more complex approaches, that complement each other, than solving simple technical challenges. Increasing healthcare costs due to chronic disease and physical inactivity is a rising concern in the US and globally. The COVID-induced surge of telemedicine highlighted several issues. Telemedicine was able to provide personalized care satisfying social distancing and shelter-in-place regulations with increased customer satisfaction at reduced cost. Telemedicine may shift the efficiency frontier upwards and outwards but it does not serve the purpose for everyone. Eighty percent of health expenditure is attributed to ten percent of people with chronic disease occurring in the elderly and low socio economic population; large numbers of whom may not have access to the internet or have the literacy required for high-performance technology. Asthma is a chronic disease which involves difficulty breathing and is amenable to timely interventions and secondary prevention through telemonitoring, wearables gathering digital asthma metrics, and alleviation of user pain points which are unrelated to the disease itself. Likewise the availability of new resistive and piezoelectric sensor technology with better ways of analyzing and deriving relevant insights from data has the ability to revolutionize the management of chronic pain. Chronic lower body pain is a pervasive problem leading to foot ailments and physical inactivity that lead to chronic metabolic disease. Connected strategies with smart wearable devices have transformed traditional episodic interactions of firms and customers to connected customer relationships that are characterized by continuous, low friction, and personalized feedback, curated solutions, and automated motivational messaging. These expanding technologies have connection architectures from traditional monolithic to connected retailer or crowd orchestrator and market-maker platforms poised to enhance health outcomes with greater accessibility at reduced cost.


Keynote II: Building Safe Human Movement Taxonomies with Assistive Orthopedic Learning Technology; Characterizing the Efficacy of a Computational Neuromuscular Prediction Model Designed to Enhance Ankle Dorsiflexion Neuro-Plasticity in Patients with Fall Risk due to Foot Drop.

Dr. Homer is a Neuroergonomist and Pedorthist and an internationally renowned innovator and entrepreneur. He serves the community as an Assistant Professor of Biomechanics at Delaware State University and a secondary appointment with Western University College of Health Sciences in the Department of Physical Therapy Education.
Neurological impairments are collectively the leading global cause for mobility disability. From stroke to cerebral palsy to spine and leg neuro-orthopedic trauma, walking and balance function are affected every step of every day for millions of people worldwide. Physical Therapy (PT) and Occupational Therapy (OT) practitioners understand the importance of emotional well-being, social connections, and healthy life habits for individuals with neurologic and orthopedic injury. The general purpose of the Neuromuscular Prediction Model is to measure and reduce the risk of lower extremity injury. The present invention provides a novel means and method to identify the principal physiological factors involved in configuring internal and external joint work in real-time. By this, one can determine movement efficiency and predict movement safety patterns enabling anyone to achieve and maintain optimal neuromuscular balance and stability of the lower extremity with or without the use of an assistive device (i.e. an orthotic, shoe, brace, prosthetic or exoskeleton). Essentially, the NPM is a computational neuromuscular algorithm fashioned by characterizing the brain and its ability to control movement through muscle patterns, and just like the brain this model is designed to optimize any host. Computational neuroscience to optimize ankle and foot human performance and safety is now possible and portable. Footwear companies have used this algorithm to optimize shoe function and design. We are also applying this algorithm to professional athletes to help predict injury and manage load and fatigue during competition. Adaptive control ankle robotics exist in research and patient practice with precision to match the deficit severity of each patient and each step. Protocols and patient profiles of deficits have been established for validity. Combining the therapeutic use of ankle robotics and the NPM to enhance standard care protocols for Physical and Occupational Therapist. The impact is to advance the science of optimal human neuromuscular performance that we are now using in sports to change the game for persons with neurological mobility disabilities. The impact is to engage the user’s volitional capacity to the fullest, with robotics support optimized by the model to facilitate functionality, recovery, and safety. In the future, this could shift paradigms of human robotics interaction in health care and beyond.