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This case study describes the use of a wearable camera, SenseCam, which automatically captures several hundred images per day, to aid autobiographical memory in a patient, Mrs B, with severe memory impairment following limbic encephalitis. By using SenseCam to record personally experienced events we intended that SenseCam pictures would form a pictorial diary to cue and consolidate autobiographical memories. After wearing SenseCam, Mrs B plugged the camera into a PC which uploaded the recorded images and allowed them to be viewed at speed, like watching a movie. In the control condition, a written diary was used to record and remind her of autobiographical events. After viewing SenseCam images, Mrs B was able to recall approximately 80% of recent, personally experienced events. Retention of events was maintained in the long-term, 11 months afterwards, and without viewing SenseCam images for three months. After using the written diary, Mrs B was able to remember around 49% of an event; after one month with no diary readings she had no recall of the same events. We suggest that factors relating to rehearsal/re-consolidation may have enabled SenseCam images to improve Mrs B's autobiographical recollection.

SenseCam is a wearable digital camera that captures an electronic record of the wearer's day. It does this by automatically recording a series of still images through its wide-angle lens, and simultaneously capturing a log of data from a number of built-in electronic sensors. Subsequently reviewing a sequence of images appears to provide a powerful autobiographical memory cue. A preliminary evaluation of SenseCam with a patient diagnosed with severe memory impairment was extremely positive; periodic review of images of events recorded by SenseCam resulted in significant recall of those events. Following this, a great deal of work has been undertaken to explore this phenomenon and there are early indications that SenseCam technology may be beneficial to a variety of patients with physical and mental health problems, and is valuable as a tool for investigating normal memory through behavioural and neuroimaging means. Elsewhere, it is becoming clear that judicious use of SenseCam could significantly impact the study of human behaviour. Meanwhile, research and development of the technology itself continues with the aim of providing robust hardware and software tools to meet the needs of clinicians, patients, carers, and researchers. In this paper we describe the history of SenseCam, and the design and operation of the SenseCam device and the associated viewing software, and we discuss some of the ongoing research questions being addressed with the help of SenseCam.

BackgroundActive travel such as walking and cycling has potential to increase physical activity levels in sedentary individuals. Motorised car travel is a sedentary behaviour that contributes to carbon emissions. There have been recent calls for technology that will improve our ability to measure these travel behaviours, and in particular evaluate modes and volumes of active versus sedentary travel. The purpose of this pilot study is to investigate the potential efficacy of a new electronic measurement device, a wearable digital camera called SenseCam, in travel research.MethodsParticipants (n = 20) were required to wear the SenseCam device for one full day of travel. The device automatically records approximately 3,600 time-stamped, first-person point-of-view images per day, without any action required by the wearer. Participants also completed a self-report travel diary over the same period for comparison, and were interviewed afterwards to assess user burden and experience.ResultsThere were a total of 105 confirmed journeys in this pilot. The new SenseCam device recorded more journeys than the travel diary (99 vs. 94). Although the two measures demonstrated an acceptable correlation for journey duration (r = 0.92, p < 0.001) self-reported journey duration was over-reported (mean difference 154 s per journey; 95% CI = 89 to 218 s; 95% limits of agreement = 154 ± 598 s (-444 to 752 s)). The device also provided visual data that was used for directed interviews about sources of error.ConclusionsDirect observation of travel behaviour from time-stamped images shows considerable potential in the field of travel research. Journey duration derived from direct observation of travel behaviour from time-stamped images appears to suggest over-reporting of self-reported journey duration.