Emotion　perception　is　a　crucial　question　in　cognitive　neuroscience　and　the　underlying　neural　substrates　have　been　the　subject　of　intense　study.　One　of　our　previous　studies　demonstrated　that　motion-sensitive　areas　are　involved　in　the　perception　of　facial　expressions.　However,　it　remains　unclear　whether　emotions　perceived　from　whole-person　stimuli　can　be　decoded　from　the　motion-sensitive　areas.　In　addition,　if　emotions　are　represented　in　the　motion-sensitive　areas,　we　may　further　ask　whether　the　representations　of　emotions　in　the　motion-sensitive　areas　can　be　shared　across　individual　subjects.　To　address　these　questions,　this　study　collected　neural　images　while　participants　viewed　emotions　(joy,　anger,　and　fear)　from　videos　of　whole-person　expressions　(contained　both　face　and　body　parts)　in　a　block-design　functional　magnetic　resonance　imaging　(fMRI)　experiment.　Multivariate　pattern　analysis　(MVPA)　was　conducted　to　explore　the　emotion　decoding　performance　in　individual-defined　dorsal　motion-sensitive　regions　of　interest　(ROIs).　Results　revealed　that　emotions　could　be　successfully　decoded　from　motion-sensitive　ROIs　with　statistically　significant　classification　accuracies　for　three　emotions　as　well　as　positive　versus　negative　emotions.　Moreover,　results　from　the　cross-subject　classification　analysis　showed　that　a　person＇s　emotion　representation　could　be　robustly　predicted　by　others＇　emotion　representations　in　motion-sensitive　areas.　Together,　these　results　reveal　that　emotions　are　represented　in　dorsal　motion-sensitive　areas　and　that　the　representation　of　emotions　is　consistent　across　subjects.　Our　findings　provide　new　evidence　of　the　involvement　of　motion-sensitive　areas　in　the　emotion　decoding,　and　further　suggest　that　there　exists　a　common　emotion　code　in　the　motion-sensitive　areas　across　individual　subjects.