Imperial College London


Faculty of EngineeringDyson School of Design Engineering

Senior Lecturer



+44 (0)20 7594 2584h.haddadi Website




Dyson BuildingSouth Kensington Campus






BibTex format

author = {Haddadi, H and Ofli, F and Mejova, Y and Weber, I and Srivastava, J},
title = {360 Quantified Self},
url = {},

RIS format (EndNote, RefMan)

AB - Wearable devices with a wide range of sensors have contributed to the rise ofthe Quantified Self movement, where individuals log everything ranging from thenumber of steps they have taken, to their heart rate, to their sleepingpatterns. Sensors do not, however, typically sense the social and ambientenvironment of the users, such as general life style attributes or informationabout their social network. This means that the users themselves, and themedical practitioners, privy to the wearable sensor data, only have a narrowview of the individual, limited mainly to certain aspects of their physicalcondition. In this paper we describe a number of use cases for how social media can beused to complement the check-up data and those from sensors to gain a moreholistic view on individuals' health, a perspective we call the 360 QuantifiedSelf. Health-related information can be obtained from sources as diverse asfood photo sharing, location check-ins, or profile pictures. Additionally,information from a person's ego network can shed light on the social dimensionof wellbeing which is widely acknowledged to be of utmost importance, eventhough they are currently rarely used for medical diagnosis. We articulate along-term vision describing the desirable list of technical advances andvariety of data to achieve an integrated system encompassing Electronic HealthRecords (EHR), data from wearable devices, alongside information derived fromsocial media data.
AU - Haddadi,H
AU - Ofli,F
AU - Mejova,Y
AU - Weber,I
AU - Srivastava,J
TI - 360 Quantified Self
UR -
ER -